|
|
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 |
|
|
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.
|
Received: 29 November 2013
Revised: 14 March 2014
Accepted manuscript online:
|
PACS:
|
02.30.Yy
|
(Control theory)
|
|
05.90.+m
|
(Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems)
|
|
02.30.Ks
|
(Delay and functional equations)
|
|
Fund: 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). |
Corresponding Authors:
An Bao-Ran
E-mail: baoran.an@hit.edu.cn
|
Cite this article:
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 2014 Chin. Phys. B 23 080202
|
[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
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|