Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss

doi:10.1088/1674-1056/23/8/080202

›› 2014, Vol. 23 ›› Issue (8): 80202-080202.doi: 10.1088/1674-1056/23/8/080202

Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss

安宝冉^a, 刘国平^{a b}

a Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150080, China;
b School of Engineering, University of South Wales, Pontypridd CF37 1DL, United Kingdom

收稿日期:2013-11-29 修回日期:2014-03-14 出版日期:2014-08-15 发布日期:2014-08-15
基金资助:
Project supported by the Key Program for the National Natural Science Foundation of China (Grant No. 61333003) and the General Program for the National Natural Science Foundation of China (Grant No. 61273104).

Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss

An Bao-Ran (安宝冉)^a, Liu Guo-Ping (刘国平)^{a b}

a Center for Control Theory and Guidance Technology, Harbin Institute of Technology, Harbin 150080, China;
b School of Engineering, University of South Wales, Pontypridd CF37 1DL, United Kingdom

Received:2013-11-29 Revised:2014-03-14 Online:2014-08-15 Published:2014-08-15
Contact: An Bao-Ran E-mail:baoran.an@hit.edu.cn
Supported by:
Project supported by the Key Program for the National Natural Science Foundation of China (Grant No. 61333003) and the General Program for the National Natural Science Foundation of China (Grant No. 61273104).

摘要/Abstract

摘要： This paper discusses the model-based predictive controller design of networked nonlinear systems with communication delay and data loss. Based on the analysis of the closed-loop networked predictive control systems, the model-based networked predictive control strategy can compensate for communication delay and data loss in an active way. The designed model-based predictive controller can also guarantee the stability of the closed-loop networked system. The simulation results demonstrate the feasibility and efficacy of the proposed model-based predictive controller design scheme.

关键词: communication delays, data loss, model-based networked predictive control

Abstract: This paper discusses the model-based predictive controller design of networked nonlinear systems with communication delay and data loss. Based on the analysis of the closed-loop networked predictive control systems, the model-based networked predictive control strategy can compensate for communication delay and data loss in an active way. The designed model-based predictive controller can also guarantee the stability of the closed-loop networked system. The simulation results demonstrate the feasibility and efficacy of the proposed model-based predictive controller design scheme.

Key words: communication delays, data loss, model-based networked predictive control

中图分类号: (Control theory)

02.30.Yy

05.90.+m (Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems) 02.30.Ks (Delay and functional equations)

安宝冉, 刘国平. Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss[J]. , 2014, 23(8): 80202-080202.

An Bao-Ran (安宝冉), Liu Guo-Ping (刘国平). Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss[J]. Chin. Phys. B, 2014, 23(8): 80202-080202.

参考文献 30

[1]	Baillieul J 2004 IEEE Trans. Autom. Control 49 1421
[2]	An B R and Liu G P 2012 Proceedings of the 10th World Congress on Intelligent Control and Automation, July 6-8, 2012, Beijing, China, p. 831
[3]	An B, Liu G and Chai S 2012 Proceedings of the 2012 UKACC International Conference on Control, September 3-5, 2012, Cardiff, United Kingdom, p. 834
[4]	Garcia J, Palomo F R, Luque A, Aracil C, Quero J M, Carrion D, Gamiz F, Revilla P, Perez-Tinao J, Moreno M, Robles P and Franquelo L G 2004 IEEE Trans. Ind. Electron. 51 1168
[5]	Liu J, Munoz de la Pena D, Ohran B J, Christofides P D and Davis J F 2008 Chem. Eng. Sci. 63 5394
[6]	Wu J, Jia Q, Johansson K and Shi L 2013 IEEE Trans. Autom. Control 58 1041
[7]	Liu X and Kumar K D 2012 IEEE Trans. Aero. Elec. Sys. 48 2302
[8]	Bae J, Zhang W and Tomizuka M 2013 IEEE Trans. Control Syst. Technol. 21 1980
[9]	Goodwin G C, Haimovich H, Quevedo D E and Welsh J S 2004 IEEE Trans. Autom. Control 49 1427
[10]	Yang C X, Guan Z H and Huang J 2009 J. Franklin Inst. 346 1006
[11]	Mahmoud M S 2009 Appl. Math. Comput. 211 33
[12]	Chen J and Lau V 2012 IEEE Trans. Signal Process. 60 443
[13]	Zhang W A and Yu L 2010 Acta Automatica Sinica 36 87
[14]	Hu S and Zhu Q 2003 Automatica 39 1877
[15]	Yue D, Han Q L and Peng C 2004 IEEE Trans. Circuits Syst. Express Briefs 51 640
[16]	Yu Y B, Zhong Q S, Liao X F and Yu J B 2008 Chin. Phys. B 17 842
[17]	Hu W, Liu G P and Rees D 2007 IEEE Trans. Ind. Electron. 54 1603
[18]	Yu Y B, Bao J F, Zhang H B, Zhong Q S, Liao X F and Yu J B 2008 Chin. Phys. B 17 2377
[19]	Guan Z H, Yang S H and Yao J 2012 Int. J. Robust Nonlinear Control 22 205
[20]	Zhang Q L, Lu L and Zhang Y 2011 Chin. Phys. B 20 090514
[21]	Zhong P P, Zhang H N, Wang J D, Qin X J, Wei Z J, Chen S and Liu S H 2011 Chin. Phys. B 20 050307
[22]	Ciccarella G, Dalla Mora M and Germani A 1995 Syst. Control Lett. 24 291
[23]	Xiang Z R, Chen Q W and Hu W L 2001 Kongzhi Lilun Yu Yingyong 18 80 (in Chinese)
[24]	Aouaouda S, Chadli M, Shi P and Karimi H R 2013 Int. J. Robust Nonlinear Control
[25]	Yang J, Li S, Sun C and Guo L 2013 IEEE Trans. Aerosp. Electron. Syst. 49 1263
[26]	Lee H G, Arapostathis A and Marcus S I 1987 Int. J. Control 45 1803
[27]	Monaco S and Normand-Cyrot D 1987 Proceedings of the IEEE Conference on Decision and Control, 1987, Los Angeles, CA, USA, p. 979
[28]	Nijmeijer H and van der Schaft A J 1990 Nonlinear Dynamical Control Systems (New York: Springer)
[29]	Kurtz M J and Henson M A 1998 Int. J. Control 70 603
[30]	Ouyang H, Liu G P, Rees D and Hu W 2007 Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng. 221 453

Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss

Model-based predictive controller design for a class of nonlinear networked systems with communication delays and data loss

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