TY - GEN
T1 - Robust Stabilization of Nonlinear Systems with Event-Triggered and Quantized Feedback
T2 - 15th IEEE International Conference on Control and Automation, ICCA 2019
AU - Wang, Yutian
AU - Liu, Tengfei
AU - Jiang, Zhong Ping
N1 - Funding Information:
This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT.
Funding Information:
*This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This paper studies the feedback control problem of nonlinear systems in strict-feedback form with the coordinated design of event-trigger, dynamic quantizer and nonlinear control law. Through a novel recursive control design based on set-valued maps, the closed-loop event-triggered quantized system is transformed into an interconnection of input-to-state stable (ISS) subsystems. It is shown by the cyclic-small-gain theorem that the closed-loop system also is ISS. By appropriately choosing the parameters of the event-triggered quantized controller, the state of the closed-loop system can be steered to within an arbitrarily small neighborhood of the origin, and infinitely fast sampling and in particular the Zeno phenomenon are avoided.
AB - This paper studies the feedback control problem of nonlinear systems in strict-feedback form with the coordinated design of event-trigger, dynamic quantizer and nonlinear control law. Through a novel recursive control design based on set-valued maps, the closed-loop event-triggered quantized system is transformed into an interconnection of input-to-state stable (ISS) subsystems. It is shown by the cyclic-small-gain theorem that the closed-loop system also is ISS. By appropriately choosing the parameters of the event-triggered quantized controller, the state of the closed-loop system can be steered to within an arbitrarily small neighborhood of the origin, and infinitely fast sampling and in particular the Zeno phenomenon are avoided.
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U2 - 10.1109/ICCA.2019.8899951
DO - 10.1109/ICCA.2019.8899951
M3 - Conference contribution
AN - SCOPUS:85075794645
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 67
EP - 72
BT - 2019 IEEE 15th International Conference on Control and Automation, ICCA 2019
PB - IEEE Computer Society
Y2 - 16 July 2019 through 19 July 2019
ER -