NDLI: An MPC Approach to Networked Control Design

Content Provider	IEEE Xplore Digital Library
Author	Wu Jing Zhang Liqian Chen Tongwen
Copyright Year	2007
Description	Author affiliation: Alberta Univ., Edmonton (Wu Jing)
Abstract	This paper investigates the problem of model predictive control for a class of networked control systems. Both sensor-to-controller and controller-to-actuator delays are considered and described by Markovian chains. The resulting closed-loop systems are written as jump linear systems with two modes. The control scheme is characterized as a constrained delay-dependent optimization problem of the worst-case quadratic cost over an infinite horizon at each sampling instant. A linear matrix inequality approach for the controller synthesis is developed. It is shown that the proposed state feedback model predictive controller guarantees the stochastic stability of the closed-loop system.
Starting Page	10
Ending Page	14
File Size	275461
Page Count	5
File Format	PDF
ISBN	9787811240559
DOI	10.1109/CHICC.2006.4346915
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear systems Control design Networked control systems Linear matrix inequalities (LMIs) Predictive models Stochastic stability Delay Constraint optimization Model predictive control (MPC) Networked control systems (NCSs) Cost function Sampling methods Jump linear systems Infinite horizon Predictive control
Content Type	Text
Resource Type	Article

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