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