专家信息：
张海涛，男，1977年出生，武汉人，华中科技大学自动化学院自动控制系系主任、教授、博士生导师、中组部“青年拔尖人才支持计划”入选者、国家优秀青年基金获得者、教育部新世纪优秀人才、湖北省杰出青年基金获得者、华中学者。
教育及工作经历：
2000和2005年分别在中国科技大学获得双学士和博士学位。
2007年1月至12月在英国剑桥大学从事博士后研究。
2005年被华中科技大学破格评为副教授。
2010年晋升为教授，同年被评为博士生导师。
曾赴剑桥大学、加州大学、弗吉尼亚大学等学术机构进行访问研究。
学术兼职及社会任职：
1. IEEE Senior Member。
2. IEEE控制系统协会武汉分会 主席。
3. Nature出版期刊Scientific Reports 编委。
4. 国际期刊 Asian Journal of Control 编委。
5. 期刊Journal of Systems Science and Mathematical Sciences编委。
6. IEEE 控制系统协会编委会 编委。
7. IEEE CDC、ACC、IFAC、ASCC、CCC和CCDC会议 编委。
8. IEEE Trans on Automatic Control, IEEE Trans on Systems, Man and Cybernetics-Part B, IEEE Trans on Automation Science and Engineering, IEEE Trans on Neural Networks, IEEE Trans on Circuits and Systems I, IEEE/ASME Trans on Mechatronics, Automatica, Systems and Control Letters, PLoS Computational Biology, Europhysics Letters 等三十余种SCI国际期刊审稿人。
主讲课程：
《自动控制原理》、《预测控制及其工业应用》（双语）
培养研究生情况：
资料更新中……
招聘情况：
华中科技大学自动化学院和数字制造装备与技术国家重点实验室张海涛教授课题组因工作和实验室发展需要面向国内外公开招收博士后科研人员。
一、研究方向
多智能体系统控制、多轴数控加工动力学与控制、纳米精度定位控制
二、招聘条件
申请人应具有国内外著名大学或研究所自动化、电子工程、机械工程及其相关专业博士学位，具有较强的科研能力、进取精神和创新能力；具有较强的英文阅读与写作能力；具有较强的动手能力和良好的沟通能力，责任心强，工作认真负责，积极主动，具有良好的团队合作精神；能够全脱产在本站进行研究工作。
三、应聘材料
1．从大学本科起不间断的学习、工作简历；
2. 博士学历、学位证书及现任职位证明材料；
3．论文及其它著作目录、专利清单；
4．三至五篇代表性论文；
5．个人主要学术成就简介；
6．应聘后研究工作的设想、计划和要求；
7．两封同行专家推荐信，推荐专家应是本领域的知名专家。海外应聘者应提供至少两份海外推荐信。
四、岗位待遇
工资及福利待遇按照国家和华中科技大学有关规定执行，提供不少于12万元年薪，条件优秀者待遇可面议。
可优先推荐申请全国博士后管委会办公室组织的“博士后国际交流计划派出和学术交流项目”。
五、联系方式
本招聘长期有效。应聘者请将应聘材料发至以下邮箱：zht@mail.hust.edu.cn；有任何关于工作的问题，欢迎与我们联系咨询。
研究方向：
1. 模型预测控制。
2. 多智能体系统控制。
3. 纳米制造系统控制。
4. 多轴数控加工主动控制。
承担科研项目情况：
1. 主持中组部第二批青年拔尖人才项目。
2. 主持国家自然科学基金优秀青年基金项目“鲁棒与预测控制”（61322304）。
3. 主持国家自然科学基金“纳米制造基础”重大研究计划项目（91023034）。
4. 主持国家自然科学基金海外及港澳学者合作研究基金（51328501）（联合主持）。
5. 主持国家自然科学基金青年基金项目（60704141）。
6. 主持教育部新世纪优秀人才支持计划（NCET-09-0343）。
7. 主持湖北省杰出青年基金项目(2012FFA009)。
8. 参与国家自然科学基金创新群体项目（51121002），主要成员。
9. 参与国家自然科学基金重大国际（地区）合作项目（51120155001），第二负责人。
10. 参与973 计划课题(2011CB013005),学术骨干。
科研成果：
1. 参编Springer等英文专著三部；发表SCI论文五十余篇，含A类论文三十余篇，其中一作和通讯作者Automatica和IEEE汇刊18篇，长文9篇；申请和授权国家专利十余项，获得湖北省自然科学一等奖一项（排名第一）。曾应美国科学院院长邀请在中美青年科学家会议上作大会报告。
2. 从事博士后研究工作期间,将预测控制从单个体系统推广到多智能体系统，研究了个体预测智能对于生命群集到达协调一致行为并降低群集内通信成本的关键性作用，发展了群集预测控制策略；提出了“涡旋”群集构型的协调控制方法；系统分析了几类典型边界条件对群集涌现行为的影响机制，并在多机器人协调控制中获得了成功的应用。
3. 在记忆减退型非线性系统的建模与约束预测控制领域，他设计了高精度的Hammerstein/Wiener/Volterra模型辨识策略，将其从集中参数推广到分布参数系统，并分别对记忆减退型和面向模块型非线性系统的未来动态演化趋势进行预测，进而发展了约束预测控制方法，提高了闭环系统的控制精度和瞬态性能，拓展了系统闭环稳定区域，并在实际控制系统中进行了实验验证。
4. 获得了国家自然科学基金纳米制造基础重大研究计划培育项目和青年基金项目的资助，自主研发了纳米静电喷印平台装备及其附属高精度高均匀度微环境控制腔体，将所设计的非线性模型预测控制方法成功应用于纳米静电喷印微环境控制和射流与沉积过程控制。
5. 在多智能体系统的模型预测控制领域，他的工作的特色在于从自然界生命群集的动力学行为中提炼个体间互动和个体智能对群集涌现的本质规律，用于多智能体系统建模、分析与控制。成果得到了美国科学院院士H.E.Stanley教授、德国科学院院士D.Helbing教授、10余位IEEE Fellow、以及普林斯顿大学I.D.Couzin教授、加州理工学院M.C.Cross教授、麻省理工学院S.Kim博士等著名学术机构学者的正面评价。
6. 通过已经结题的项目“分布式生物医学系统的模型预测控制”和“微生物群集的协调动力学行为机制研究”，张海涛揭示了个体对未来运动轨迹的预测智能对于群集演化达到协调一致行为的关键作用，构建了多智能体系统预测控制策略，提高了群集的紧密程度和同步效率；发展了不依赖于全局信息的分布式“涡旋”构型控制方法，实现了多智能体在不同轨道“涡旋”上的相位均匀分布，揭示了鱼群和昆虫群“涡旋”的动力学规律；针对边界约束多智能体系统，设计了不依赖于个体间吸引作用的稳定群集控制方法,发现了两类典型边界条件下，群集以概率1收敛到速度同步的规律；发现并解释了多智能体构型从“类液体”（即相邻个体距离从外部到内部逐渐缩小）到“类晶体”（即相邻个体距离保持恒定）的相变规律；提炼了自然界群集领导力传播方式和奇异行为对群集演化过程的影响规律。
发明专利：
1 一种基于体表反向场的内外伤漏磁检测区分方法与装置 孙燕华;伍剑波;康宜华;李冬林;叶志坚;张海涛 2014-02-19 2014-04-30
2 一种薄壁件铣削振动的多机械手臂随动抑制装置 赵欢;赵杰;张海涛;吴越;丁汉;赵鑫;张国强 2015-01-08 2015-05-06
3 一种基于磁悬浮轴承电主轴的铣削颤振主动控制方法 陈智勇;吴越;赵欢;张海涛;赵杰;丁汉;赵鑫;张国强 2014-12-22 2015-05-27
4 一种高速铣削电主轴切削颤振的主动抑制装置 赵杰;赵欢;张海涛;吴越;丁汉;赵鑫;张国强 2014-10-30 2015-02-18
5 一种基于Zernike矩的图像匹配方法 王瑜辉;尹程龙;尹周平;张海涛;徐侃 2012-10-17 2014-05-07
6 一种高速铣削电主轴切削颤振的主动抑制装置 赵欢;赵杰;张海涛;吴越;丁汉;赵鑫;张国强 2014-10-30 2015-03-11
7 一种高速铣削电主轴切削颤振的激励模拟装置 张海涛;赵杰;赵欢;吴越;丁汉;赵鑫;张国强 2014-10-30 2015-03-04
8 基于基板速度调节的纳米纤维直径控制方法及控制装置 张海涛;魏飞龙;董益民;尹周平;丁汉 2013-12-09 2014-03-19
9 一种静电喷印纳米纤维直径闭环控制方法及装置 张海涛;魏飞龙;董益民;尹周平;丁汉 2013-09-03 2013-12-25
10 一种铣削加工颤振主动控制系统及其方法 丁汉;陈浦炜;张海涛;张小明 2013-04-24 2013-08-21
Selected Recent Publications
Book Chapters：
1. H.-T. Zhang, Z. Cheng, M.-C.Fan and Y. Wu, "Collective Behavior Coordination with Predictive Mechanisms," Complex Systems and Networks,
Springer-Verlag Berlin Heidelberg, 2015.
2. H.-T. Zhang, Z. Chen, and H. Ding, "Adaptive LQR control to attenuate chatters in milling processes," Intelligent Robotics and Applications,
Springer-Verlag Berlin Heidelberg, 2013.
3. H.- T. Zhang , "MPC for Block-Oriented Nonlinear Systems with Input Saturations," Advanced Model Predictive Control, InTech - Open Access
Publisher, 2011
Journal Papers (* refers to corresponding author):
1. H.-T. Zhang, C. Zhai and Z. Chen, A general alignment repulsion algorithm for ocking of multi-agent systems, IEEE Transactions on Automatic
Control, vol. 56,no. 2, pp. 430-435, 2011.
2. M.-C. Fan, Z. Chen Z. and H.- T. Zhang, Semi-global consensus of nonlinear second-order multiagent systems with measurement output feedback, IEEE Transactions on Automatic Control, vol. 59, no. 8, pp. 2222-2227, 2014.
3. Z. Chen and H.-T. Zhang, No-beacon collective circular motion of jointly-connected multi-agents, Automatica-Regular paper, vol. 46, pp. 1929-
1937, 2011.
4. Z. Chen and H.-T. Zhang, A Remark on Collective Circular Motion of Heterogeneous Multi-agents, Automatica, vol. 49, pp. 1236-1241, 2013.
5. H.-T. Zhang and Z. Chen, Collaborative control of multivehicle systems in diverse motion patterns, IEEE Transactions on Control Systems
Technology, DOI:10.1109/TCST.2015.2487864.
6. H.-T. Zhang, Z. Chen, L. Yan and W. Yu,Application of collective circular motion control to multi-robot systems, IEEE Transactions on Control
Systems Technology,vol. 21, no.4, pp. 1416-1422, 2015.
7. Z. Chen, H.-T. Zhang, M.-C. Fan, D.Wang and D. Li, Algorithms and experiments on ocking of multi-agents in a bounded space, IEEE Transactions on Control Systems Technology, vol. 22, no.4, pp. 1544-1549, 2014.
8. W. J. He, H.-T. Zhang, Z. Chen, B. Chu, K. Cao, B. Shan, and R. Chen, Generalized predictive control of temperature on an atomic layer deposition reactor, IEEE Transactions on Control Systems Technology, vol. 23, no.6, pp. 2408-2415, 2015.
9. H.-T. Zhang, M. Z. Q. Chen and G. B. Stan, Fast consensus via predictive pinning control, IEEE Transactions on Circuits and Systems I-Regular
paper, vol.58,no.9, pp. 2247-2258, 2011.
10. H.-T. Zhang , Z. M. Cheng and G. Chen, Model predictive ocking control for second-order multi-agent systems with input constraints,IEEE
Transactions on Circuits and Systems I-Regular paper, vol. 62, no.6, pp. 1599-1606, 2015.
11. Z. M. Cheng, H.-T. Zhang , M.-C. Fan and G. Chen, Distributed consensus of multi-agent systems with input constraints: a model predictive
control approach,IEEE Transactions on Circuits and Systems I-Regular paper, vol. 62, no.3, pp.825-834, 2015.
12. H.-T. Zhang , M. Z. Q. Chen , G. B. Stan, T. Zhou and J. M. Maciejowski, Collective behavior coordination with predictive mechanisms, IEEE
Circuits and Systems Magazine{Feature Article, vol. 8, no. 3, pp. 67-85, 2008.
13. H.-T. Zhang, Z. Chen, P. Chen, X. Zhang and H. Ding, Saturated output regulation approach for active vibration control of thin-walled exible
workpieces with voice coil actuators, IEEE/ASME Transactions on Mechatronics-Regular paper, DOI: 10.1109/TMECH.2015.2440425.
14. H.-T. Zhang and Z. Chen, Consensus acceleration in a class of predictive networks,IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp.1921-1927, 2014.
15. Z. Chen and H.-T. Zhang, Analysis of joint connectivity condition for multi-agents with boundary constraints, IEEE Transactions on Cybernetics-
Regular paper, vol. 43, no.2, pp. 437-444, 2013.
16. Z. Chen, M.-C. Fan and H.-T. Zhang , How much control is enough for network connectivity preservation and collision avoidance, IEEE
Transactions on Cybernetics-Regular paper, vol. 45, no.8, pp. 1647-1656, 2015.
17. W. J. He, H.-T. Zhang, Z. Chen, J-L. Lin, B. Shan, and R. Chen, Temperature control for nano-scale lms by spatially-separated atomic layer
deposition based on generalized predictive control, IEEE Transactions on Nanotechnology-Regular paper, vol. 14, no.6, pp. 1094-1103, 2015.
18. Fan M.-C., Zhang H.-T. and Lin Z., Distributed Semi-global Consensus with Relative Output Feedback and Input Saturation under Directed
Switching Networks, IEEE Transactions on Circuits and Systems II, vol. 62. no.8, pp. 796-800, 2015.
19. H.-T. Zhang, Z. Chen, T. Vicsek, G. Feng, L. Sun, R. Su, and T. Zhou, Route dependent switch between hierarchical and egalitarian strategies in
pigeon ocks, Scienti c Reports, vol.4, pp. 5805, 2014.
20. H.-T. Zhang , Y. Wu, D. He and H. Zhao, Model predictive control to mitigate chatters in milling processes with input constraints, International
Journal of Machine Tools and Manufacture , vol. 91, pp. 54{61, 2015.
21. Z. Chen and H.-T. Zhang, X. Zhang and H. Ding, Adaptive Active Chatter Control in Milling Processes, ASME Transactions-Journal of Dynamic
Systems, Measurement and Control -Regular paper, vol. 136, pp. 021997, 2014.
22. T. Huang, Z. Chen, H.-T. Zhang and H. Ding, Active control of an active magnetic bearings supported spindle for chatter suppression in milling
process, ASME Transactions-Journal of Dynamic Systems, Measurement and Control -Regular paper, vol. 137, pp. 111003, 2015.
23. H.-T. Zhang, M. Z. Q. Chen and Z. Chen, Nonlinear Laguerre-Volterra-observer controller and its application to process control, International
Journal of Robust and Nonlinear Control,vol.20, pp. 412-423, 2010.
24. H.-T. Zhang, G. Chen and M. Z. Q. Chen, A novel dual-mode predictive control strategy for constrained Wiener systems, International Journal of Robust and Nonlinear Control,vol.20, pp. 975-986, 2010.
25. Y. Wu, H.-T. Zhang, T. Huang and H. Ding, Adaptive chatter mitigation control for machining processes with input saturations, International
Journal of Robust and Nonlinear Control, accepted.
26. H.-T. Zhang and H. X. Li, A general control horizon extension method for nonlinear model predictive control, Industrial & Engineering Chemistry
Research, vol.46,no.26, pp. 9179-9189, 2007.
27. M.-C. Fan, H.-T. Zhang and M. M. Wang, Bipartite ocking for multi-agent systems, Communications in Nonlinear Science and Numerical
Simulation, vol. 19,no. 9, pp. 3313-3322, 2014.
28. C. K. Qi, H.-T. Zhang and H. X. Li, A multi-channel spatio-temporal Hammerstein modeling approach for nonlinear distributed parameter
processes, Journal of Process Control, vol. 19, pp. 85-99, 2008.
29. H.-T. Zhang, H. X. Li and G. Chen, A novel predictive control algorithm for constrained Hammerstein systems, International Journal of Control, vol. 81, pp.1609-1625, 2008.
30. H.-T. Zhang, Z. H. Chen, Y. J. Wang and M. Li, Adaptive predictive control algorithm based on Laguerre functional model, International Journal of Adaptive Control and Signal Processing, vol. 20, no. 2, pp. 53-76, 2006.
31. H.-T. Zhang, N. Wang, R. Q. Su, M. Z.Q. Chen, T. Zhou and C. Zhou, Spatially quantifying the leadership e ectiveness in collective behaviors, New Journal of Physics, vol.12, pp.12305, 2010.
32. Z. Cheng, H.-T. Zhang, M. Z.Q. Chen, T. Zhou and V.N.Valeyev, Aggregation pattern transition by slightly varying the attraction/repulsive
function, PLoS ONE,vol.6, no.7, pp. e22123, 2011.
33. H.-T. Zhang, M. Z. Q. Chen, T. Zhou and G. B. Stan, Predictive protocol of ocks with small-world connection pattern, Physical Review E, vol. 79,
pp. 016113, 2009.
34. C. Zhai, H.-T. Zhang, Y. Zhao, M. Z. Q. Chen, B. H.Wang. and T. Zhou, E ective usage of credit records promotes cooperation on weighted
networks, Physical Review E, vol. 81, pp. 036112, 2010.
35. W. Li, H.-T. Zhang, M. Z. Q. Chen and T. Zhou, Singularities in homogeneous and its contribution to the large-scale emergence order, Physical
Review E, vol.77, 021902, 2008.
36. L. Peng, Y. Zhao, B. Tian, J. Zhang, B. H. Wang, H.-T. Zhang and T. Zhou,Consensus of self-driven agents with avoidance of collisions, Physical
Review E, vol.79, no.3, pp. 026113, 2009.
37. H.-T. Zhang, M. Z. Q. Chen, T. Zhou and G. B. Stan, Ultrafast consensus viapredictive mechanisms, Europhysics Letters, vol.83,pp. 40003,2008.
38. H.-T. Zhang, M. Z. Q. Chen and T. Zhou, Improve consensus via decentralized predictive mechanisms, Europhysics Letters, vol. 86, pp. 40011,
2008.
39. Z. Chen, H.-T. Zhang, X. Chen, D. Chen and T. Zhou, Two-level leader-follower organization in pigeon ocks, Europhysics Letters, vol. 112, pp.
20008, 2015.
40. Z. M. Cheng, H.-T. Zhang and M.-C. Fan , Distributed MPC based consensus for single-integrator multi-agent systems, ISA Transactions, vol. 58, pp. 112-120,2015. .
41. J. Zhang, Y. Zhao, B. Tian, L. Peng, H.-T. Zhang, B. H. Wang and T. Zhou,Improve consensus via decentralized predictive mechanisms, Physica A, vol. 338,no.7, pp. 1237-1242, 2009.
42. H.-T. Zhang, C. K. Qi, T. Zhou and H. X. Li, Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space
separation,Physica A, vol. 376, pp. 215-222, 2007.
43. J. G. Liu, M. Z. Q. Chen, J. Chen, F. Deng, H.-T. Zhang, Z. Zhang, and T.Zhou, Recent advances in personal recommender systems, International
Journal of Information and Systems Sciences, vol. 5, no.2, pp. 230-247, 2009.
44. W. Yu, M. Cao, J. Lu, G. Chen and H.-T. Zhang, Swarming behaviors in multiagent systems with nonlinear dynamics, Chaos, vol. 23, pp. 043118, 2013.
45. H.-T. Zhang, L. Tischenko and P. Z. Yu, A novel adaptive control algorithm based on nonlinear Laguerre-Volterra observer, Transactions of the
Institute of Measurement and Control, vol. 31, pp. 129-151, 2009.
46. H.-T. Zhang, C. Zhang, Z. H. Chen and M. Li, OFS model-based adaptive control for block-oriented nonlinear systems, Transactions of the
Institute of Measurement and Control, vol. 28, no. 3, pp. 209-218, 2006.
47. H.-T. Zhang and Y. J. Wang, Dual-mode control algorithm for Wiener-typed nonlinear systems, Springer Lecture Notes in Control and Information Science, vol.345, pp. 1157-1162, 2006.
48. H.-T. Zhang, Z. H. Chen and M. Li, A nonlinear adaptive predictive control algorithm based on OFS model, Springer Lecture Notes in Computer
Science, vol.3645, no. 2, pp. 502{511, 2005.
49. T. Qin, H.-T. Zhang and Z.H. Chen, Continuous CMAC-QRLS and its systolic array, Neural Processing Letters, vol 22, no. 1, pp. 1-16, 2005.
50. T. Qin, Z. H. Chen and H.-T. Zhang, A learning algorithm of CMAC based on RLS, Neural Processing Letters, vol. 19, no. 1, pp. 49-61, 2004.
51. Z. H. Chen, H.-T. Zhang, M. Li and W. Xiang, Adaptive control method for nonlinear time-delay processes, Journal of Systems Engineering and
Electronics, vol. 18, no. 3, pp. 566-576, 2007.
学术交流：
1. 受美国科学院院长R.J.Cicerone的邀请，赴美国加州尔湾参加第15届中美青年科学家前沿科学会议做大会报告,并担任多智能体系统分析与控制分会主席。
2. 应邀于2007-2012年在剑桥大学、莱斯特大学、伦敦大学、加州大学等英美德澳港10余所大学做关于多智能体预测控制方面的专题演讲。
3. 在2012年亚洲控制会议上担任讲座和研讨会主席。
4. 在2011年-2013年的三次中国控制会议上专门组织了“多智能体预测控制”主题邀请分会。
5. 应邀为IEEE电路与系统杂志撰写的长文在该杂志近五年的引用排名第三。
荣誉奖励：
1. 2015年度湖北省自然科学一等奖（排名第一）。
2. 2013年度《科学中国人》年度人物之“杰出青年科学家奖”。
3. 2012年度湖北省自然科学论文一等奖（排名第一）。
4. 2011年度湖北省优秀硕士论文奖（指导教师）。
5. 2010年度第11届IEEE控制、自动化、机器人和视觉国际会议最佳论文提名奖，新加坡；（通信作者）。
6. 2009年度华中科技大学首届学术新人奖。
7. 2006年度中英优秀学者奖（排名第一）。
8. 2004年度中国科学院院长奖（排名第一）。
9. 中组部“青年拔尖人才支持计划”入选者。
10. 国家优秀青年基金获得者。
11. 教育部新世纪优秀人才。
12. 湖北省杰出青年基金获得者。
13. 华中学者。
——记华中科技大学自动化学院教授张海涛
‘
1977年7月出生的张海涛目前是华中科技大学自动化学院最年轻的教授之一，他的履历简洁却不简单。在中国科学技术大学自动化系从本科读到博士，可谓十年寒窗。2005年博士毕业后他只用了短短的五年就一跃被破格晋升为教授、博导，被评为教育部新世纪优秀人才、华中学者，还是湖北省杰出青年基金获得者、武汉市晨光计划入选者。很多人会感慨他的学术之途走的如此迅捷，他坦然道，其实大部分人的天分都是相近的，自己并没有什么超常的天赋。有的只是坚守着自己的理想和方向，勤奋努力一路攀登。
科研：兴趣与追求的融合
作为一名科研工作者，张海涛是幸运的。因为他所从事的科研工作，正是他的兴趣所在，也正是他人生追求的重要内容。张海涛主要从事模型预测控制理论与应用研究，针对记忆减退型非线性系统，深入开展了系统建模、预测控制器设计及其稳定性和鲁棒性分析的关键问题研究，并在纳米静电喷印微环境控制系统中获得了成功的应用。
2006年12月至2008年1月，张海涛远赴英国剑桥大学工程系从事博士后研究工作，期间他将预测控制从单个体系统推广到多智能体系统，研究了个体预测智能对于生命群集到达协调一致行为并降低群集内通信成本的关键性作用，发展了群集预测控制策略；提出了“涡旋”群集构型的协调控制方法；系统分析了几类典型边界条件对群集涌现行为的影响机制，并在多机器人协调控制中获得了成功的应用。
靠着执着的科研精神、较高的学术水平和很强的科研能力，张海涛取得了丰硕的科研成果。在记忆减退型非线性系统的建模与约束预测控制领域，他设计了高精度的Hammerstein/Wiener/Volterra模型辨识策略，将其从集中参数推广到分布参数系统，并分别对记忆减退型和面向模块型非线性系统的未来动态演化趋势进行预测，进而发展了约束预测控制方法，提高了闭环系统的控制精度和瞬态性能，拓展了系统闭环稳定区域，并在实际控制系统中进行了实验验证。鉴于他的杰出工作，他应邀参编了英文专著Advanced Model Predictive Control；获得了国家自然科学基金纳米制造基础重大研究计划培育项目和青年基金项目的资助，自主研发了纳米静电喷印平台装备及其附属高精度高均匀度微环境控制腔体，将所设计的非线性模型预测控制方法成功应用于纳米静电喷印微环境控制和射流与沉积过程控制。
在多智能体系统的模型预测控制领域，他的工作的特色在于从自然界生命群集的动力学行为中提炼个体间互动和个体智能对群集涌现的本质规律，用于多智能体系统建模、分析与控制。成果得到了美国科学院院士H.E.Stanley教授、德国科学院院士D.Helbing教授、10余位IEEE Fellow、以及普林斯顿大学I.D.Couzin教授、加州理工学院M.C.Cross教授、麻省理工学院S.Kim博士等著名学术机构学者的正面评价。
为此，他受美国科学院院长R.J.Cicerone的邀请，赴美国加州尔湾参加第15届中美青年科学家前沿科学会议做大会报告,并担任多智能体系统分析与控制分会主席。英国剑桥大学 J.M.Maciejowski教授（模型预测控制领域国际著名学者、IEEE、IET Fellow、前欧洲控制联合会主席、前国际测量与控制学会主席、剑桥大学工程系信息工程部主任）在评价他的博士后工作时指出“申请者将群集动力学和预测控制有机结合，做出了重要的工作，是剑桥控制组近年来最成功的访问研究之一”。基于预测控制工作，他被推选为IEEE Senior Member，并担任SCI国际期刊Asian Journal of Control的副编辑。他还应邀于2007-2012年在剑桥大学、莱斯特大学、伦敦大学、加州大学等英美德澳港10余所大学做关于多智能体预测控制方面的专题演讲，在2012年亚洲控制会议上担任讲座和研讨会主席，并在2011年-2013年的三次中国控制会议上专门组织了“多智能体预测控制”主题邀请分会。他应邀为IEEE电路与系统杂志撰写的长文在该杂志近五年的引用排名第三。其在纳米精度宏微运动控制的成果在套色印刷行业也创造了超过2000万元的新增产值。
成果：汗水和艰辛的结晶
张海涛才华横溢，这点是毋庸置疑的，单从他的科研成果就可见一斑。但看得见的是成果，看不见的是隐藏在他的才华背后的汗水和艰辛。年纪轻轻的他几乎把所有的时间都投入到了实验室里，他的勤奋，他的执着，不禁让许多人动容。
张海涛目前正主持一项国家自然科学基金“纳米制造基础”重大研究计划培育项目——纳米制造微环境预测控制研究。他在该方面的杰出工作表现，得到了国际学术界的认可。
国际系统辨识领域著名学者、IET/IMA Fellow、英国谢菲尔德大学S.A.Billings教授指出，他“提出了分布参数系统的多通道Hammerstein非线性时空分离方法”；IEEE Trans. Systems Man and Cybernetics-C最佳论文得主、Automatica编委、荷兰Delfts大学B.D. Schutter教授将他的工作做为分布参数系统建模的代表性工作进行介绍；IEEE Control Society副主席、IEEE Fellow、新加坡国立大学S.Ge教授对其工作也进行了长篇评述，指出“发展的Hammerstein时空模型较之以往方法更适合用在控制系统设计，（因为）它是纯数据驱动，需要更少的先验知识”。IFAC前副主席、法国洛林大学J.Ragot教授指出，张将“Laguerre滤波器用于控制器设计中”；IEEE Computation Intelligence Society副主席、IEEE Fellow、米兰理工大学A. Cesare教授指出，张的“基于遗忘因子的方法可以解决知识集中过时信息的去除问题”；IET Fellow、新加坡资讯技术研究所P.K.Meher，指出张“基于Laguerre多项式的控制算法对变化的时滞、阶次和结构参数具有很好的适应性，且计算复杂度低，性能优于传统方法”。
除了这些，通过已经结题的项目“分布式生物医学系统的模型预测控制”和“微生物群集的协调动力学行为机制研究”，张海涛揭示了个体对未来运动轨迹的预测智能对于群集演化达到协调一致行为的关键作用，构建了多智能体系统预测控制策略，提高了群集的紧密程度和同步效率；发展了不依赖于全局信息的分布式“涡旋”构型控制方法，实现了多智能体在不同轨道“涡旋”上的相位均匀分布，揭示了鱼群和昆虫群“涡旋”的动力学规律；针对边界约束多智能体系统，设计了不依赖于个体间吸引作用的稳定群集控制方法,发现了两类典型边界条件下，群集以概率1收敛到速度同步的规律；发现并解释了多智能体构型从“类液体”（即相邻个体距离从外部到内部逐渐缩小）到“类晶体”（即相邻个体距离保持恒定）的相变规律；提炼了自然界群集领导力传播方式和奇异行为对群集演化过程的影响规律。
上述科研成果同样得到了科学界的认可，美国科学院院士、美国波士顿大学Willam Fairfield杰出教授H.E.Stanley（波尔兹曼奖获得者）和以色列物理学会前主席S.Havlin教授（英国物理学会和美国物理学会Fellow、美国物理学会Nicholson奖、Landau杰出物理学研究奖、德国洪堡奖、威兹曼奖获得者）共同撰文，评价“加快了群集动力学模型收敛速度，避免了碰撞”。H.E.Stanley等还将他的工作进行了拓展，通过个体视野调整，进一步加快了群集同步收敛速度。
印度工程院院士、印度理学院教授D.Ghose评价“提出了一系列预测控制算法及其解析分析策略，改进了Vicsek模型的收敛性，加快了线性群集动力学系统到达同步一致的速度”。IEEE Fellow、美国加州理工学院R.M.Murray教授肯定了张海涛的工作“将模型预测控制用于群集动力学一致性设计，加快了收敛速度”。IEEE Fellow、美国德州大学F.L.Lewis教授评价“提出具有动力学预测机制的群集行为控制”。普林斯顿大学I.D.Couzin教授和美国西北大学C.Huepe博士联合撰文评价“设计的方法加快了群集收敛速度”、“简化的非线性动力学模型提供了重要的工具，能帮助理解新奇的群集现象并探索其基本规律”。韩国首尔国立大学S.Seo教授和美国麻省理工学院S.Kim博士评价“张等提出了不依赖吸引作用的改进Reynold模型，分析了个体间交互对群集动力学的作用，显示了通过有限距离通信实现群集分布式控制的可能性”。
尽管已经向学术界展示了其强大的科研能力，可“壮士惜日短，愁人知夜长”，张海涛不敢对自己有丝毫放松和懈怠，针对纳米柔性电子制造的控制技术，他将从静电喷印射流控制、沉积自组织构型控制和纳米精度定位控制三方面展开研究，最终成果将被集成在纳米静电喷印平台中，以保证柔性基板上微纳器件性能的一致性。张海涛还很年轻，科研的道路还很长，我们相信他一定能为科学事业做出更多更大的贡献。
来源：科学中国人 2013年第9期
Prof. Hai-Tao Zhang, Control Engineering
Contact Information:
Department of Automatic Control, School of Automation, Huazhong University of Science and Technology.
1037 Luoyu Road, Wuhan, P. R. China 430074,
Mobile phone: +86-15997450253
E-mail: zht@hust.edu.cn
Education:
University of Cambridge, Cambridge, U.K. January-December 2007
Postdoctoral Researcher, Control Group, Engineering Department
Research Topic: "Network-based coordinated predictive control of flocks"
University of Science and Technology of China (USTC), Hefei, P.R.China
September 2000 -July 2005
Ph.D., Department of Automation
Research Topic: \Orthonormal functional series-based nonlinear model predictive control"
USTC, Hefei, P.R.China September 1995-July 2000
B.Eng., Automatic Control, Department of Automation; Bachelor of Business Administration, Department of Administration Science
Experience:
Department of Automatic Control and Key Laboratory of Image Processing and Intelligent Control, Huazhong (Central China) University of Science and Technology (HUST), Wuhan, P.R.China
Professor (full time), Head of Department of Automatic Control, Deputy Director of Key Laboratory of Image Processing and Intelligent Control, Chinese Ministry of Education,March 2013 -present.
Department of Automatic Control and State Key Laboratory of Digital Manufacturing Equipments and Technology, HUST, Wuhan, P.R.China
Professor (full time) Oct. 2010 - present.
Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, U.S.
Visiting Professor Feb. 2014 - Feb. 2005.
Department of Control Science and Engineering and State Key Laboratory of Digital Manufacturing Equipments and Technology, HUST, Wuhan, P.R.China
Associate Professor (full time) July 2005- Oct. 2010.
Department of Engineering and Wolfson College, University of Cambridge, Cam-bridge, U.K.
Visiting Scholar July -December 2008
Department of Electronics Engineering , City University of HongKong, HongKong SRA, P.R.China
Research Fellow February -May 2009
Department of Manufactory Engineering and Engineering Management, City University of HongKong, HongKong SRA, P.R.China
Senior Research Assistant February - May 2006
Digital Media/Security Team, IBM China Research Lab, Beijing, P.R.China
Intern July - October 2004
Research interests：
Collective Behavior Analysis and Multi-agent Systems (MASs) Control; Model Predictive Control (MPC); Nano-manufacturing Control.
Projects as Principal Investigator
1、"Model predictive control for electrospinning manufacturing" 2016
National Youth Outstanding Talent Support Program, 2,400,000 RMB.
2、"Robust and model predictive control" 2014-2016
The National Excellent Youth Fund of the National Natural Science Foundation of China (NNSFC) with Grant No. 61322304, 1,000,000 RMB.
3、"Micro and nano-positioning dynamics and control" 2014-2015
The Joint Research Fund for Overseas, Hong Kong and Macao Young Scholars of NNSFC with Grant No. 51328501, 200,000 RMB. PI with Associate Professor Zhiyong Chen of The University of Newcastle Australia
4、"Model predictive micro-environment control for nano-jet printing platform"2011-2013
Major Research Plan NNSFC with Grant No. 91023034, 500,000 RMB.
5、"Biomedically inspired MPC for distributed parameter systems" 2008-2010
NNSFC with Grant No. 60704041, 220,000 RMB.
6、"Collective behavior analysis and control for microorganism colonies"
Chinese Program for New Century Excellent Talents in University with Grant. 2009373, 500,000 RMB.
7、"Active controller design of ve-axis digital machining system for heavy ma-chine tools" 2012-2016
Outstanding Youth Project of the Natural Science Foundation of Hubei Province with Grant No. 2012FFA009, 100,000 RMB.
8、"Predictive control for electro-spraying and substate sediment process of nano-scale jet-printing systems " 2013-2014
Ph.D. Programs Foundation of Ministry of Education of China with Grant No. 20130142110050, 120,000 RMB.
9、"Distributed biomedical systems' MPC research" 2008-2010
Ph.D. Programs Foundation of Ministry of Education of China with Grant No. 20070487090, 36,000 RMB.
Projects as Co-Investigator
1、"Autonomous control for unmanned vessels" 2016-2020
Pearl River Talent Plan Project, 20,000,000 RMB, as Co-Investigator.
2、"Dynamics analysis and active controller design of ve-axis digital machining system for complex surfaces" 2012-2016
Key-joint Project of the National Natural Science Foundation of China (NNSFC) with Grant No. 51120155001, 3,000,000 RMB, as Co-Investigator.
3、"State-space realization theory for multi-dimensional systems" 2007-2009
NNSFC with Grant. No. 60604001, 240,000 RMB, as Co-Investigator.
1、Associate Editor
Nature Scienti c Reports
Asian Journal of Control
IST Transactions of Control Engineering-Theory and Applications.
Journal of Systems Science and Mathematical Science
IEEE CSS Conference Editorial Board The 54th and 55th IEEE Conference on Decision and Control American Control Conference 2015,2016
2、Programe Chair & Programe Member
The 9th Asian Control Conference
The 24th and 25th Chinese Control Conferences
The 4th Chinese Automation Congress
3、Session Chair
The 15th Chinese-American Kavli Frontiers of Science Symposium
The 30th, 31st, 32nd, 33rd and 34th Chinese Control Conferences
4、Reviewer of the following journals
IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems I,IEEE Transactions on Neural Networks, IEEE Transactions
on Automation Science and Technology, IEEE Transactions on Systems, Man and Cybernetics-B, IEEE Transac-tions on Fuzzy Systems, IEEE Transactions on Human-Machine Systems IEEE/ASME Transactions on Mechatronics, Automatica, PLoS Computational Biology, Systems and Control Letters, PRE, EPL, Science China, etc.
5、Reviewer of the following conferences IEEE
Conference on Decision and Control, IEEE American Control Conference, IFAC,etc.
1、Automatic Control Theory" course for undergraduates at HUST
Sept.-Dec., 2005; Sept.-Dec., 2006; Sept.-Dec., 2008; Sept.-Dec., 2009;Sept.-Dec.,2010,Sept.-Dec., 2011,Sept.-Dec., 2012; Sept.-Dec., 2013.
2、Model Predictive Control and Its Industrial Applications" course for graduates at HUST
Sept.-Dec., 2008; Sept.-Dec., 2009, Sept.-Dec., 2010, Sept.-Dec., 2012.
PhD graduated Ming-Can Fan.
PhD candidates at HUST Four candidates: Yong Hu, Yue Wu, Duxin Chen and Bin Liu.
PhD candidate of Joint HUST-Newcastle University Australia Tao Huang
Master students
Eighteen graduated: Xiaoxue Li, Chao Jiang, Yabin Li, Yaqi Wu, Di Zheng, Chao Zhai, Benren Pan, Yue Wei, Zhou Wang, Jie Zhai, Jin Cao, Yi Zhen, Puwei Chen, Tao Huang,Chenglong Yin, Xiang Chen, Yifei Tang, Feilong Wei，
Seven ongoing: Zhaomeng Cheng, Jie Zhao, Tao Zhou, Yimin Dong, Xianyi Shi, Qing Wang, Tao Zhu, Wei Wu.
Honors and Awards：
1. First Class Natural Science Award (1/3), Hubei Province, P.R.China, September 2015.
2. Outstanding Young Scientist Award, Scienti c Chinese, April, 2014.
3. Nominee Best Paper Award of the 11th International Conference on Control, Automa-tion, Robotics and Vision, Singapore, December 2010
4. First Class Excellent Natural Science Paper Award (1/3), Hubei Province, P.R.China,December 2012. .
5. U.K./China Fellowship for Excellence Programme ($25,434) December 2006
6. President Prize of Chinese Academy of Sciences June 2004
Selected Recent Publications
Book Chapters：
1. H.-T. Zhang, Z. Cheng, M.-C.Fan and Y. Wu, "Collective Behavior Coordination with Predictive Mechanisms," Complex Systems and Networks,
Springer-Verlag Berlin Heidelberg, 2015.
2. H.-T. Zhang, Z. Chen, and H. Ding, "Adaptive LQR control to attenuate chatters in milling processes," Intelligent Robotics and Applications,
Springer-Verlag Berlin Heidelberg, 2013.
3. H.- T. Zhang , "MPC for Block-Oriented Nonlinear Systems with Input Saturations," Advanced Model Predictive Control, InTech - Open Access
Publisher, 2011
Journal Papers (* refers to corresponding author):
1. H.-T. Zhang, C. Zhai and Z. Chen, A general alignment repulsion algorithm for ocking of multi-agent systems, IEEE Transactions on Automatic
Control, vol. 56,no. 2, pp. 430-435, 2011.
2. M.-C. Fan, Z. Chen Z. and H.- T. Zhang, Semi-global consensus of nonlinear second-order multiagent systems with measurement output feedback, IEEE Transactions on Automatic Control, vol. 59, no. 8, pp. 2222-2227, 2014.
3. Z. Chen and H.-T. Zhang, No-beacon collective circular motion of jointly-connected multi-agents, Automatica-Regular paper, vol. 46, pp. 1929-
1937, 2011.
4. Z. Chen and H.-T. Zhang, A Remark on Collective Circular Motion of Heterogeneous Multi-agents, Automatica, vol. 49, pp. 1236-1241, 2013.
5. H.-T. Zhang and Z. Chen, Collaborative control of multivehicle systems in diverse motion patterns, IEEE Transactions on Control Systems
Technology, DOI:10.1109/TCST.2015.2487864.
6. H.-T. Zhang, Z. Chen, L. Yan and W. Yu,Application of collective circular motion control to multi-robot systems, IEEE Transactions on Control
Systems Technology,vol. 21, no.4, pp. 1416-1422, 2015.
7. Z. Chen, H.-T. Zhang, M.-C. Fan, D.Wang and D. Li, Algorithms and experiments on ocking of multi-agents in a bounded space, IEEE Transactions on Control Systems Technology, vol. 22, no.4, pp. 1544-1549, 2014.
8. W. J. He, H.-T. Zhang, Z. Chen, B. Chu, K. Cao, B. Shan, and R. Chen, Generalized predictive control of temperature on an atomic layer deposition reactor, IEEE Transactions on Control Systems Technology, vol. 23, no.6, pp. 2408-2415, 2015.
9. H.-T. Zhang, M. Z. Q. Chen and G. B. Stan, Fast consensus via predictive pinning control, IEEE Transactions on Circuits and Systems I-Regular
paper, vol.58,no.9, pp. 2247-2258, 2011.
10. H.-T. Zhang , Z. M. Cheng and G. Chen, Model predictive ocking control for second-order multi-agent systems with input constraints,IEEE
Transactions on Circuits and Systems I-Regular paper, vol. 62, no.6, pp. 1599-1606, 2015.
11. Z. M. Cheng, H.-T. Zhang , M.-C. Fan and G. Chen, Distributed consensus of multi-agent systems with input constraints: a model predictive
control approach,IEEE Transactions on Circuits and Systems I-Regular paper, vol. 62, no.3, pp.825-834, 2015.
12. H.-T. Zhang , M. Z. Q. Chen , G. B. Stan, T. Zhou and J. M. Maciejowski, Collective behavior coordination with predictive mechanisms, IEEE
Circuits and Systems Magazine{Feature Article, vol. 8, no. 3, pp. 67-85, 2008.
13. H.-T. Zhang, Z. Chen, P. Chen, X. Zhang and H. Ding, Saturated output regulation approach for active vibration control of thin-walled exible
workpieces with voice coil actuators, IEEE/ASME Transactions on Mechatronics-Regular paper, DOI: 10.1109/TMECH.2015.2440425.
14. H.-T. Zhang and Z. Chen, Consensus acceleration in a class of predictive networks,IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 10, pp.1921-1927, 2014.
15. Z. Chen and H.-T. Zhang, Analysis of joint connectivity condition for multi-agents with boundary constraints, IEEE Transactions on Cybernetics-
Regular paper, vol. 43, no.2, pp. 437-444, 2013.
16. Z. Chen, M.-C. Fan and H.-T. Zhang , How much control is enough for network connectivity preservation and collision avoidance, IEEE
Transactions on Cybernetics-Regular paper, vol. 45, no.8, pp. 1647-1656, 2015.
17. W. J. He, H.-T. Zhang, Z. Chen, J-L. Lin, B. Shan, and R. Chen, Temperature control for nano-scale lms by spatially-separated atomic layer
deposition based on generalized predictive control, IEEE Transactions on Nanotechnology-Regular paper, vol. 14, no.6, pp. 1094-1103, 2015.
18. Fan M.-C., Zhang H.-T. and Lin Z., Distributed Semi-global Consensus with Relative Output Feedback and Input Saturation under Directed
Switching Networks, IEEE Transactions on Circuits and Systems II, vol. 62. no.8, pp. 796-800, 2015.
19. H.-T. Zhang, Z. Chen, T. Vicsek, G. Feng, L. Sun, R. Su, and T. Zhou, Route dependent switch between hierarchical and egalitarian strategies in
pigeon ocks, Scienti c Reports, vol.4, pp. 5805, 2014.
20. H.-T. Zhang , Y. Wu, D. He and H. Zhao, Model predictive control to mitigate chatters in milling processes with input constraints, International
Journal of Machine Tools and Manufacture , vol. 91, pp. 54{61, 2015.
21. Z. Chen and H.-T. Zhang, X. Zhang and H. Ding, Adaptive Active Chatter Control in Milling Processes, ASME Transactions-Journal of Dynamic
Systems, Measurement and Control -Regular paper, vol. 136, pp. 021997, 2014.
22. T. Huang, Z. Chen, H.-T. Zhang and H. Ding, Active control of an active magnetic bearings supported spindle for chatter suppression in milling
process, ASME Transactions-Journal of Dynamic Systems, Measurement and Control -Regular paper, vol. 137, pp. 111003, 2015.
23. H.-T. Zhang, M. Z. Q. Chen and Z. Chen, Nonlinear Laguerre-Volterra-observer controller and its application to process control, International
Journal of Robust and Nonlinear Control,vol.20, pp. 412-423, 2010.
24. H.-T. Zhang, G. Chen and M. Z. Q. Chen, A novel dual-mode predictive control strategy for constrained Wiener systems, International Journal of Robust and Nonlinear Control,vol.20, pp. 975-986, 2010.
25. Y. Wu, H.-T. Zhang, T. Huang and H. Ding, Adaptive chatter mitigation control for machining processes with input saturations, International
Journal of Robust and Nonlinear Control, accepted.
26. H.-T. Zhang and H. X. Li, A general control horizon extension method for nonlinear model predictive control, Industrial & Engineering Chemistry
Research, vol.46,no.26, pp. 9179-9189, 2007.
27. M.-C. Fan, H.-T. Zhang and M. M. Wang, Bipartite ocking for multi-agent systems, Communications in Nonlinear Science and Numerical
Simulation, vol. 19,no. 9, pp. 3313-3322, 2014.
28. C. K. Qi, H.-T. Zhang and H. X. Li, A multi-channel spatio-temporal Hammerstein modeling approach for nonlinear distributed parameter
processes, Journal of Process Control, vol. 19, pp. 85-99, 2008.
29. H.-T. Zhang, H. X. Li and G. Chen, A novel predictive control algorithm for constrained Hammerstein systems, International Journal of Control, vol. 81, pp.1609-1625, 2008.
30. H.-T. Zhang, Z. H. Chen, Y. J. Wang and M. Li, Adaptive predictive control algorithm based on Laguerre functional model, International Journal of Adaptive Control and Signal Processing, vol. 20, no. 2, pp. 53-76, 2006.
31. H.-T. Zhang, N. Wang, R. Q. Su, M. Z.Q. Chen, T. Zhou and C. Zhou, Spatially quantifying the leadership e ectiveness in collective behaviors, New Journal of Physics, vol.12, pp.12305, 2010.
32. Z. Cheng, H.-T. Zhang, M. Z.Q. Chen, T. Zhou and V.N.Valeyev, Aggregation pattern transition by slightly varying the attraction/repulsive
function, PLoS ONE,vol.6, no.7, pp. e22123, 2011.
33. H.-T. Zhang, M. Z. Q. Chen, T. Zhou and G. B. Stan, Predictive protocol of ocks with small-world connection pattern, Physical Review E, vol. 79,
pp. 016113, 2009.
34. C. Zhai, H.-T. Zhang, Y. Zhao, M. Z. Q. Chen, B. H.Wang. and T. Zhou, E ective usage of credit records promotes cooperation on weighted
networks, Physical Review E, vol. 81, pp. 036112, 2010.
35. W. Li, H.-T. Zhang, M. Z. Q. Chen and T. Zhou, Singularities in homogeneous and its contribution to the large-scale emergence order, Physical
Review E, vol.77, 021902, 2008.
36. L. Peng, Y. Zhao, B. Tian, J. Zhang, B. H. Wang, H.-T. Zhang and T. Zhou,Consensus of self-driven agents with avoidance of collisions, Physical
Review E, vol.79, no.3, pp. 026113, 2009.
37. H.-T. Zhang, M. Z. Q. Chen, T. Zhou and G. B. Stan, Ultrafast consensus viapredictive mechanisms, Europhysics Letters, vol.83,pp. 40003,2008.
38. H.-T. Zhang, M. Z. Q. Chen and T. Zhou, Improve consensus via decentralized predictive mechanisms, Europhysics Letters, vol. 86, pp. 40011,
2008.
39. Z. Chen, H.-T. Zhang, X. Chen, D. Chen and T. Zhou, Two-level leader-follower organization in pigeon ocks, Europhysics Letters, vol. 112, pp.
20008, 2015.
40. Z. M. Cheng, H.-T. Zhang and M.-C. Fan , Distributed MPC based consensus for single-integrator multi-agent systems, ISA Transactions, vol. 58, pp. 112-120,2015. .
41. J. Zhang, Y. Zhao, B. Tian, L. Peng, H.-T. Zhang, B. H. Wang and T. Zhou,Improve consensus via decentralized predictive mechanisms, Physica A, vol. 338,no.7, pp. 1237-1242, 2009.
42. H.-T. Zhang, C. K. Qi, T. Zhou and H. X. Li, Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space
separation,Physica A, vol. 376, pp. 215-222, 2007.
43. J. G. Liu, M. Z. Q. Chen, J. Chen, F. Deng, H.-T. Zhang, Z. Zhang, and T.Zhou, Recent advances in personal recommender systems, International
Journal of Information and Systems Sciences, vol. 5, no.2, pp. 230-247, 2009.
44. W. Yu, M. Cao, J. Lu, G. Chen and H.-T. Zhang, Swarming behaviors in multiagent systems with nonlinear dynamics, Chaos, vol. 23, pp. 043118, 2013.
45. H.-T. Zhang, L. Tischenko and P. Z. Yu, A novel adaptive control algorithm based on nonlinear Laguerre-Volterra observer, Transactions of the
Institute of Measurement and Control, vol. 31, pp. 129-151, 2009.
46. H.-T. Zhang, C. Zhang, Z. H. Chen and M. Li, OFS model-based adaptive control for block-oriented nonlinear systems, Transactions of the
Institute of Measurement and Control, vol. 28, no. 3, pp. 209-218, 2006.
47. H.-T. Zhang and Y. J. Wang, Dual-mode control algorithm for Wiener-typed nonlinear systems, Springer Lecture Notes in Control and Information Science, vol.345, pp. 1157-1162, 2006.
48. H.-T. Zhang, Z. H. Chen and M. Li, A nonlinear adaptive predictive control algorithm based on OFS model, Springer Lecture Notes in Computer
Science, vol.3645, no. 2, pp. 502{511, 2005.
49. T. Qin, H.-T. Zhang and Z.H. Chen, Continuous CMAC-QRLS and its systolic array, Neural Processing Letters, vol 22, no. 1, pp. 1-16, 2005.
50. T. Qin, Z. H. Chen and H.-T. Zhang, A learning algorithm of CMAC based on RLS, Neural Processing Letters, vol. 19, no. 1, pp. 49-61, 2004.
51. Z. H. Chen, H.-T. Zhang, M. Li and W. Xiang, Adaptive control method for nonlinear time-delay processes, Journal of Systems Engineering and
Electronics, vol. 18, no. 3, pp. 566-576, 2007.
Selected Patents ：
1. H.-T. Zhang, F.-L. Wei, Y.-M. Dong, Z.-P. Yin and H. Ding , Static spray printing nano ber diameter closed-loop control method and device, Chinese
Invention Patent,Application No. CN201310396573, 2013.
2. H.-T. Zhang, F.-L. Wei, Y.-M. Dong, Z.-P. Yin and H. Ding , Nano- ber diameter control method based on substrate speed adjustment and control
device, Chinese Invention Patent, Application No. CN201310659164, 2013.
3. H.-T. Zhang, J. Zhao, H. Zhao, H. Ding, X. Zhao and G.-Q. Zhang, An excitation simulation equipment for high speed machining chatters based on active magnetic bearing, Chinese Invention Patent, Application No. CN 2014206456988, 2014.
4. J. Zhao, H. Zhao, H.-T. Zhang, H. Ding, X. Zhao and G.-Q. Zhang, An active chatter attenuation equipment for high speed machining processes
based on active magnetic bearing, Chinese Invention Patent, Application No. CN 2014106045684, 2014.
5. H. Ding, P.-W. Chen, H.-T. Zhang and X.-M. Zhang, Milling machining chatter active control system and method, Chinese Invention Patent,
Application No. CN201310145177, 2013.
6. Y.-H. Wang, C.-L. Yin, Z.-P. Yin, H.-T. Zhang and K. Xu, Image matching method based on Zernike matrix, Chinese Invention Patent, Application No. CN201210395617,2012.
7. Y.-H. Sun, J.-B. Wu, Y.-H. Kang, D.-L. Li, Z.-J. Ye, and H.-T.Zhang, Internal and external aw magnetic ux leakage detection distinguishing method
and device based on super cial reversed eld, Chinese Invention Patent, Application No.CN201410055718, 2014.
Selected Invited presentations ：
1、Collective torus motion control and applications to multi-robot systems, Research Laboratory for Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Boston, U.S., Nov. 26, 2014.
2、Phase transition of natural collective motions, Department of Physics, Boston University, Boston, U.S., Nov. 24, 2014.
3、Nanometer Electrical-spraying Control, Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville U.S., March 26, 2014.
4、Exploring the Collective Motion Evolution, Plenary Talk, Chinese-American Kavli Frontiers of Science Symposium, Invited by Ralph J Cicerone, the
President of National Academy of Science, Irvine, U.S., Oct. 14, 2012.
5、Multi-robot circular motion control, Department of Electronics Engineering, RoyalMelbourne Institute of Technology, Melbourne, Australia, Dec. 14, 2012.
6、Multi-robot circular motion control, Department of Electronics Engineering, University of California Riverside, Riverside CA, U.S., Oct. 12, 2012.
7、Collective Behavior Coordination via Decentralized MPC, School of Electrical Engineering and Computer Science, University of Newcastle Australia, Australia, March12, 2009.
8、Synchronized Collective Behavior via Low-cost Communication, CityU-PolyU Complex Network Workshop, Department of Electronics Engineering, City University ofHongKong, HongKong SAR, P. R. China, May 12, 2009.
9、Collective Behavior Coordination via Decentralized MPC, Department of Engineering, University of Cambridge, U.K., Aug. 4, 2008.
10、Predictive protocol of ocks/swarms with small-world connection pattern,Microsoft Research Asia, P.R.China, Jan. 20, 2008.
11、Synchronized collective behavior via low-cost communication, Department of Engineering, University of Cambridge, U.K., Nov. 1, 2007.
12、Extracting predictive mechanisms of biological ocks/swarms, School of Biological Sciences, Royal Holloway, University of London, U.K., Oct. 23,
2007.
13、Collective behavior coordination with decentralized predictive mechanisms, Department of Engineering, University of Leicester, U.K., Oct. 17,
2007.
14、Ultrafast consensus via model prediction protocol, Department of Engineering, University of Cambridge, U.K., Oct. 4, 2007.
15、Network-based coordinated predictive control of ocks, Department of Physics, University of Potsdam, Germany, Sept. 12, 2007.
16、Model predictive control for distributed parameter systems, Department of Engineering, University of Cambridge, U.K., Feb. 2, 2007.
17、A novel modeling method for nonlinear distributed parameter systems, Department of Manufactory Engineering and Engineering Management, City University ofHongKong, HongKong SAR, P. R. China, May 12, 2006.
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