Dynamic output feedback of networked control systems with partially known Markov chain packet dropouts

Summary In this paper, a class of networked control systems with output feedback control and H ∞  performance is discussed. It considers packet dropouts in both measurement (S/C) and actuation (C/A) channels. Markovian chain principle is used in modeling the packet dropouts in S/C and C/A channels. The time scale adopted in these two independent homogeneous Markov chain is linear with the physical time. The model also takes into consideration the late arriving packets. The effect of interaction between packet dropouts in both channels on the stability of system, when the networks of both (S/C) and (C/A) channels overlap is also examined. Sufficient condition for the existence of H ∞  output feedback controller is presented and it is shown that it is dependent on the upper bounds of the number of consecutive packet dropouts. The developed stability analysis and control scheme is also investigated with partially known transition probability matrices. Finally, a numerical example has been given to show the effectiveness of developed method. Copyright © 2013 John Wiley & Sons, Ltd.

[1]  Johan Nilsson,et al.  Analysis of Real-Time Control Systems with Time Delays , 1996 .

[2]  Magdi S. Mahmoud,et al.  Improved networked-control systems approach with communication constraint , 2012, IMA J. Math. Control. Inf..

[3]  Zhi-Hong Guan,et al.  Guaranteed cost control for uncertain Markovian jump systems with mode-dependent time-delays , 2003, IEEE Trans. Autom. Control..

[4]  Jeng-Shyang Pan,et al.  Robust observers for neutral jumping systems with uncertain information , 2006, Inf. Sci..

[5]  Jianliang Wang,et al.  H-infinity control of Networked Control Systems with bounded packet dropouts , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[6]  James Lam,et al.  Stabilization of linear systems over networks with bounded packet loss , 2007, Autom..

[7]  Xiaomei Zhang,et al.  Stabilization of Networked Stochastic Time-Delay Fuzzy Systems With Data Dropout , 2008, IEEE Transactions on Fuzzy Systems.

[8]  Jianliang Wang,et al.  Output feedback control of networked control systems with packet dropouts in both channels , 2013, Inf. Sci..

[9]  Hamid Reza Karimi,et al.  Fault detection for discrete-time Markov jump linear systems with partially known transition probabilities , 2010, Int. J. Control.

[10]  Rolf Findeisen,et al.  Stabilizing nonlinear predictive control over non deterministic communication networks , 2008 .

[11]  Stephen P. Boyd,et al.  Control of asynchronous dynamical systems with rate constraints on events , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[12]  James Lam,et al.  Analysis and Synthesis of Markov Jump Linear Systems With Time-Varying Delays and Partially Known Transition Probabilities , 2008, IEEE Transactions on Automatic Control.

[13]  Shengyuan Xu,et al.  Robust stochastic stabilization and H∞ control of uncertain neutral stochastic time-delay systems☆ , 2006 .

[14]  Yuanqing Xia,et al.  Discrete-Time Model Predictive Control , 2012 .

[15]  Nathan van de Wouw,et al.  Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance , 2010, IEEE Transactions on Automatic Control.

[16]  Jing Wu,et al.  Delay-dependent robust stability and H∞ control for jump linear systems with delays , 2006, Syst. Control. Lett..

[17]  Nathan van de Wouw,et al.  A discrete-time framework for stability analysis of nonlinear networked control systems , 2012, Autom..

[18]  Nathan van de Wouw,et al.  Networked control systems with communication constraints: Tradeoffs between transmission intervals and delays , 2009, 2009 European Control Conference (ECC).

[19]  Lixian Zhang,et al.  H∞ estimation for discrete-time piecewise homogeneous Markov jump linear systems , 2009, Autom..

[20]  Harris Wu,et al.  New Predictive Control Scheme for Networked Control Systems , 2011, Circuits, Systems, and Signal Processing.

[21]  Peng Shi,et al.  Robust filtering for jumping systems with mode-dependent delays , 2006, Signal Process..

[22]  Johan Nilsson,et al.  Analysis of real-time control systems with time delays , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[23]  Magdi S. Mahmoud Uncertain jumping systems with strong and weak functional delays , 2004, Autom..

[24]  W. P. M. H. Heemels,et al.  Controller synthesis for networked control systems , 2010, Autom..

[25]  A. Willsky,et al.  Discrete-time Markovian-jump linear quadratic optimal control , 1986 .

[26]  Thomas Parisini,et al.  Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis , 2011, IEEE Transactions on Automatic Control.

[27]  S. Sastry,et al.  An LQG Optimal Linear Controller for Control Systems with Packet Losses , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[28]  Nathan van de Wouw,et al.  Stability of Networked Control Systems With Uncertain Time-Varying Delays , 2009, IEEE Transactions on Automatic Control.

[29]  H. Chizeck,et al.  Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control , 1990 .

[30]  A. Rabello,et al.  Stability of asynchronous dynamical systems with rate constraints and applications , 2002 .

[31]  Jörg Fischer,et al.  Distributed and Networked Model Predictive Control , 2014 .