DocumentCode :
3434503
Title :
Robust ℋ output feedback control of discrete-time networked systems with adaptive quantizers
Author :
Rasool, Faiz ; Huang, Dan ; Nguang, Sing Kiong
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
2381
Lastpage :
2386
Abstract :
Quantization effects are inevitable in networked control systems (NCSs). These quantization effects can be reduced by increasing the number of quantization levels. However, increasing the number of quantization levels may lead to network congestion, (i.e., the network needs to transfer more information than its capacity). In this paper, we investigate the problem of designing a robust ℋ output feedback controller for discrete-time networked systems with an adaptive quantization density or limited information. More precisely, the quantization density is designed to be a function of the network load condition which is modeled by a Markov process. A stability criterion is developed by using Lyapunov-Krasovskii functional and sufficient conditions for the existence of a dynamic quantized output feedback controller are given in terms of Bilinear Matrix Inequalities(BMIs). An iterative algorithm is suggested to obtain quasi-convex Linear Matrix Inequalities (LMIs) from BMIs. An example is presented to illustrate the effectiveness of the proposed design.
Keywords :
Lyapunov methods; Markov processes; discrete time systems; feedback; linear matrix inequalities; networked control systems; robust control; Lyapunov-Krasovskii functional; Markov process; adaptive quantization density; bilinear matrix inequalities; discrete time networked systems; dynamic quantized output feedback controller; limited information; network congestion; network load condition; networked control systems; quasiconvex linear matrix inequalities; robust ℋ output feedback control; stability criterion; Closed loop systems; Delay; Linear matrix inequalities; Markov processes; Output feedback; Quantization; Stability analysis; Adaptive quantization Density; Bernoulli Sequence; Markovian Jump Systems(MJSs); Networked Control Systems (NCSs); Sector Bound Approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6160879
Filename :
6160879
Link To Document :
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