DocumentCode :
3743809
Title :
Quantized event-based control of nonlinear systems
Author :
Tengfei Liu;Zhong-Ping Jiang
Author_Institution :
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China
fYear :
2015
Firstpage :
4806
Lastpage :
4811
Abstract :
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.
Keywords :
"Quantization (signal)","Nonlinear systems","Convergence","Closed loop systems","Asymptotic stability","Linear systems"
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
Type :
conf
DOI :
10.1109/CDC.2015.7402969
Filename :
7402969
Link To Document :
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