TY - GEN
T1 - A decoupled design in distributed control of uncertain networked control systems
AU - Wang, Xiaofeng
AU - Hovakimyan, Naira
PY - 2012
Y1 - 2012
N2 - This paper studies interconnected networked control systems in the presence of communication constraints and uncertainties. We propose a novel control architecture for subsystems that can decouple the design of output-feedback control strategy and the communication scheme. In this architecture, a navigator serves as the bridge between the uncertain, communication-limited system and an ideal model that has perfect communication and no uncertainties. Under this framework, one can integrate the existing communication protocols and robust control techniques into this architecture without worrying for the coupling between the control and the communication. We provide stability condition for the resulting closed-loop system and derive bounds on the error signals between the real system, the navigator and the ideal model. It is shown that these bounds can be arbitrarily reduced by improving the communication condition and tuning the low-pass filter in the controller. The results can significantly improve the predictability of the behavior of uncertain systems, which is important for safety-critical applications.
AB - This paper studies interconnected networked control systems in the presence of communication constraints and uncertainties. We propose a novel control architecture for subsystems that can decouple the design of output-feedback control strategy and the communication scheme. In this architecture, a navigator serves as the bridge between the uncertain, communication-limited system and an ideal model that has perfect communication and no uncertainties. Under this framework, one can integrate the existing communication protocols and robust control techniques into this architecture without worrying for the coupling between the control and the communication. We provide stability condition for the resulting closed-loop system and derive bounds on the error signals between the real system, the navigator and the ideal model. It is shown that these bounds can be arbitrarily reduced by improving the communication condition and tuning the low-pass filter in the controller. The results can significantly improve the predictability of the behavior of uncertain systems, which is important for safety-critical applications.
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M3 - Conference contribution
AN - SCOPUS:84869431510
SN - 9781457710957
T3 - Proceedings of the American Control Conference
SP - 6497
EP - 6502
BT - 2012 American Control Conference, ACC 2012
T2 - 2012 American Control Conference, ACC 2012
Y2 - 27 June 2012 through 29 June 2012
ER -