NDLI: Robust ℋ∞ output feedback control of discrete-time networked systems with adaptive quantizers

Content Provider	IEEE Xplore Digital Library
Author	Rasool, F. Dan Huang Sing Kiong Nguang
Copyright Year	2011
Description	Author affiliation: Department of Electrical and Computer Engineering, The University of Auckland, Private Bag 92019, New Zealand (Rasool, F.; Sing Kiong Nguang) \|\| Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Ministry of Education, 200240 China (Dan Huang)
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.
Starting Page	2381
Ending Page	2386
File Size	177813
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160879
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Delay Linear matrix inequalities Markov processes Closed loop systems Stability analysis Output feedback Bernoulli Sequence Networked Control Systems (NCSs) Adaptive quantization Density Sector Bound Approach Markovian Jump Systems(MJSs)
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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