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Type: Conference paper
Title: Model predictive control with missing data
Author: Huang, C.
Gao, H.
Shi, P.
Citation: Proceedings of the 27th Chinese Control Conference 2008, (CCC 2008), 2008 / Cheng, D. (ed./s), pp.732-735
Publisher: IEEE
Publisher Place: China
Issue Date: 2008
ISBN: 9787900719706
Conference Name: Chinese Control Conference (CCC) (16 Jul 2008 - 18 Jul 2008 : Kunming, Yunnan, China)
Editor: Cheng, D.
Statement of
Huang Chongji, Gao Huijun, Shi Peng
Abstract: This paper is concerned with the problem of robust model predictive control for discrete-time systems with packet losses. A stochastic process satisfying Bernoulli random binary distribution is utilized to model the packet losses, and a parameter dependent Lyapunov function is adopted to reduce the conservatism. The aim is to design a state feedback controller which minimizes an upper bound on a quadratic objective function at each sampling instant for all admissible packet losses and system parameter uncertainties, and the robust stochastic stability of the closed-loop system is guaranteed. The hard constraints on the variances of the inputs and outputs are also considered. All the conditions to solve the proposed problem are formulated in the framework of linear matrix inequalities (LMIs). A simulation example is given to illustrate the effectiveness of the proposed control methodology.
Keywords: Model predictive control; Packet losses; Parameter dependent Lyapunov function; Stochastic stability
DOI: 10.1109/CHICC.2008.4605790
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Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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