TY - GEN
T1 - Quantized event-based control of nonlinear systems
AU - Liu, Tengfei
AU - Jiang, Zhong Ping
N1 - Funding Information:
This research was supported partly by NSF grants ECCS-1101401 and ECCS-1230040, partly by NSFC grant 61374042, partly by the Fundamental Research Funds for the Central Universities under Grant N130108001 in China, and partly by the Project 111 (No. B08015) at the State Key Laboratory of Synthetical Automation for Process Industries.
Funding Information:
This research was supported partly by NSF grants ECCS-1101401 and ECCS-1230040, partly by NSFC grant 61374042, partly by the Fundamental Research Funds for the Central Universities under Grant N130108001 in China, and partly by the Project 111 (No. B08015) at the State Key Laboratory of Synthetical Automation for Process Industries
Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/8
Y1 - 2015/2/8
N2 - This paper studies event-based control of nonlinear systems with state quantization. It is assumed that the controlled system has a known input-to-state stabilizing control law. Two cases of the implementation of the control system are considered: sampling before quantization and quantization before sampling. The considered quantizer is assumed to have a finite number of quantization levels. By using the arguments of input-to-state stability (ISS), new event-triggering and dynamic quantization mechanisms are designed to deal with the interaction of the quantizer and the sampler. Under an ISS gain condition, it is guaranteed that infinitely fast sampling is avoided and the system state asymptotically converges to the origin.
AB - This paper studies event-based control of nonlinear systems with state quantization. It is assumed that the controlled system has a known input-to-state stabilizing control law. Two cases of the implementation of the control system are considered: sampling before quantization and quantization before sampling. The considered quantizer is assumed to have a finite number of quantization levels. By using the arguments of input-to-state stability (ISS), new event-triggering and dynamic quantization mechanisms are designed to deal with the interaction of the quantizer and the sampler. Under an ISS gain condition, it is guaranteed that infinitely fast sampling is avoided and the system state asymptotically converges to the origin.
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U2 - 10.1109/CDC.2015.7402969
DO - 10.1109/CDC.2015.7402969
M3 - Conference contribution
AN - SCOPUS:84961994282
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4806
EP - 4811
BT - 54rd IEEE Conference on Decision and Control,CDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 54th IEEE Conference on Decision and Control, CDC 2015
Y2 - 15 December 2015 through 18 December 2015
ER -