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Predictive control and scheduling codesign in network control systems

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Abstract

A codesign approach combining predictive control compensation and network scheduling is presented in this paper to overcome the adverse influences of stochastic time delays and packet losses encountered in network-based real-time control systems. The state estimation and control prediction compensation algorithms are used for the random network delays in the feedback and forward channels, and the stability criteria are analyzed. The proper sampling rate is given with network scheduling to meet the desired system performance, while the network-induced delay is tolerated. Simulations show that the codesign approach works well with the bounded network delay.

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Authors and Affiliations

  1. School of Basic Education for Officers, National University of Defense Technology, Changsha Hunan, 410003, China

    Qing Shen

  2. School of Information Science and Engineering, Central South University, Changsha Hunan, 410083, China

    Qing Shen, Weihua Gui, Ying Xiong & Chunhua Yang

Authors
  1. Qing Shen
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  2. Weihua Gui
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  3. Ying Xiong
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  4. Chunhua Yang
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Corresponding author

Correspondence to Qing Shen.

Additional information

This work was supported by the National Natural Science Foundation of China (No.60634020).

Qing SHEN was born in 1965 in Hunan, China. She received the B.S. degree in Control Science and Engineering from Central South University, and the M.S. degree in System Engineering from National University of Defense Technology, Changsha, China, in 1985 and 1989, respectively. She is currently a Ph.D. student in Control Science and Engineering from Central South University. Her research is mainly concentrated on network-based real-time control systems.

Weihua GUI was born in 1950 in Hubei, China. He received the B.S. degree (Automatic Control Engineering) and the M.S. degree (Control Science and Engineering) from Central South University, Changsha, China, in 1976 and 1981, respectively. From 1986 to 1988, he was a visiting scholar at Universität-GH-Duisburg, Germany. He has been a full professor at the School of Information Science and Engineering, Central South University, Changsha, China, since 1991. His main research interests are in modeling and optimal control of complex industrial process, distributed robust control, and fault diagnoses.

Ying XIONG was born in 1984 in Hunan, China. She received the B.S. degree in School of Information Science and Engineering from the University of Central South University, in 2006. Currently, she is a graduate student at the School of Information Science and Engineering from the University of Central South University. Her research interests is in realtime scheduling.

Chunhua YANG was born in 1965 in Hunan, China. She received her M.S. degree in Automatic Control Engineering and her Ph.D. in Control Science and Engineering from Central South University, China, in 1988 and 2002, respectively, and was with the Electrical Engineering Department, Katholieke Universiteit Leuven, Belgium, from 1999 to 2001. She has been a full professor at the School of Information Science and Engineering, Central South University, since 1999. Her research interests include modeling and optimal control of complex industrial process, intelligent control system, and fault-tolerant computing of real-time systems.

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Shen, Q., Gui, W., Xiong, Y. et al. Predictive control and scheduling codesign in network control systems. J. Control Theory Appl. 8, 239–244 (2010). https://doi.org/10.1007/s11768-010-7277-1

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  • DOI: https://doi.org/10.1007/s11768-010-7277-1

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