Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

H∞ controller design for networked predictive control systems based on the average dwell-time approach

Tools
- Tools
+ Tools

Wang, Rui, Wang, Bo, Liu, G. P. (Guo Ping), 1962-, Wang, Wei and Rees, David. (2010) H∞ controller design for networked predictive control systems based on the average dwell-time approach. IEEE Transactions on Circuits and Systems. Part 2: Express Briefs, Vol.57 (No.4). pp. 310-314. ISSN 1549-7747

[img] PDF
WRAP_Wang_H_Controller.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (179Kb)
Official URL: http://dx.doi.org/10.1109/TCSII.2010.2043386

Abstract

This brief focuses on the problem of H∞ control for a class of networked control systems with time-varying delay in both forward and backward channels. Based on the average dwell-time method, a novel delay-compensation strategy is proposed by appropriately assigning the subsystem or designing the switching signals. Combined with this strategy, an improved predictive controller design approach in which the controller gain varies with the delay is presented to guarantee that the closed-loop system is exponentially stable with an H∞-norm bound for a class of switching signal in terms of nonlinear matrix inequalities. Furthermore, an iterative algorithm is presented to solve these nonlinear matrix inequalities to obtain a suboptimal minimum disturbance attenuation level. A numerical example illustrates the effectiveness of the proposed method.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Control theory, Predictive control, Electric network analysis
Journal or Publication Title: IEEE Transactions on Circuits and Systems. Part 2: Express Briefs
Publisher: IEEE
ISSN: 1549-7747
Date: April 2010
Volume: Vol.57
Number: No.4
Page Range: pp. 310-314
Identification Number: 10.1109/TCSII.2010.2043386
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: China Postdoctoral Science Special Foundation (CPSSF), Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC)
Grant number: 200902539 (CPSSF), 60934006 (NSFC)
References: [1] G. C.Walsh and H. Ye, “Scheduling of networked control systems,” IEEE Control Syst. Mag., vol. 21, no. 1, pp. 57–65, Feb. 2001. [2] A. V. Savkin, “Analysis and synthesis of networked control systems: Topological entropy, observability, robustness and optimal control,” Automatica, vol. 42, no. 1, pp. 51–62, Jan. 2006. [3] L. A.Montestruque and P. Antsaklis, “Stability of model-based networked control systems with time-varying transmission times,” IEEE Trans. Autom. Control, vol. 49, no. 9, pp. 1562–1572, Sep. 2004. [4] Z. H. Mao, B. Jiang, and P. Shi, “Protocol and fault detection design for nonlinear networked control systems,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 56, no. 3, pp. 255–259, Mar. 2009. [5] W. Zhang, M. S. Branicky, and S. M. Philipsm, “Stability of networked control systems,” IEEE Control Syst. Mag., vol. 21, no. 1, pp. 84–99, Feb. 2001. [6] X.M. Tang and J. S. Yu, “Feedback scheduling of model-based networked control systems with flexible workload,” Int. J. Autom. Comput., vol. 5, no. 4, pp. 389–394, Oct. 2008. [7] D. Yue, Q. L. Han, and P. Chen, “State feedback controller design of network control systems,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 51, no. 11, pp. 640–644, Nov. 2004. [8] D. Yue, Q. L. Han, and J. Lam, “Network-based robustH∞ control of systemswith uncertainty,” Automatica, vol. 41, no. 6, pp. 999–1007, Jun. 2005. [9] Y.-B. Zhao, G.-P. Liu, and D. Rees, “Networked predictive control systems based on Hammerstein model,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 55, no. 5, pp. 469–473, May 2008. [10] G.-P. Liu, Y. Xia, D. Rees, and W. Hu, “Design and stability criteria of networked predictive control systems with random network delay in the feedback channel,” IEEE Trans. Syst.,Man, Cybern. C, Appl. Rev., vol. 37, no. 2, pp. 173–184, Mar. 2007. [11] G.-P. Liu, Y. Xia, J. Chen, D. Rees, and W. Hu, “Networked predictive control of systems with random network delays in both forward and feedback channels,” IEEE Trans. Ind. Electron., vol. 54, no. 3, pp. 1282– 1297, Jun. 2007. [12] J. P. Hespanha and A. S. Morse, “Stability of switched systems with average dwell-time,” in Proc. 38th IEEE Conf. Decision Control, Dec. 1999, pp. 2655–2660. [13] D. Liberzon, Switching in Systems and Control. Boston, MA: Birkhauser, 2003. [14] X. M. Sun, J. Zhao, and D. J. Hill, “Stability and L2-gain analysis for switched delay systems: A delay-dependent method,” Automatica, vol. 42, no. 10, pp. 1769–1774, 2006. [15] G. S. Zhai, B. Hu, K. Yasuda, and A. Michel, “Disturbance attenuation properties of time-controlled switched systems,” J. Franklin Inst., vol. 338, no. 7, pp. 765–779, Nov. 2001. [16] E. I. Ghaoui, F. Oustry, and M. A. Rami, “A cone complementarity linearization algorithm for static output-feedback and related problems,” IEEE Trans. Autom. Control, vol. 42, pp. 1171–1176, Aug. 1997. [17] H. D. Tuan, P. Apkarian, and T. Q. Nguyen, “Robust and reduced order filtering: New LMI-based characterizations and methods,” IEEE Trans. Signal Process., vol. 49, no. 12, pp. 2875–2984, Dec. 2001.
URI: http://wrap.warwick.ac.uk/id/eprint/3304

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us