Linear quadratic regulation problem for discrete-time systems with multi-channel multiplicative noise

被引:10
|
作者
Song, Xinmin [1 ,2 ]
Park, Ju H. [2 ]
机构
[1] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 38541, South Korea
基金
新加坡国家研究基金会;
关键词
Multi-channel; Generalized Riccati equation; LQR; Multiplicative noise; Convergence; STOCHASTIC-SYSTEMS; FADING CHANNELS; STATE; STABILIZATION; EQUATIONS; FEEDBACK;
D O I
10.1016/j.sysconle.2015.12.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the linear quadratic regulation (LQR) problem for discrete-time systems with multiplicative noise. Multiplicative noise is usually assumed to be a scalar in existing literature works. Motivated by recent applications of networked control systems and MIMO communication technology, we consider multi-channel multiplicative noise represented by a diagonal matrix. We first show that the finite horizon LQR problem can be solved using a generalized Riccati equation. We then prove the convergence of the generalized Riccati equation under the conditions of stabilization and exact observability, and obtain the solution to the infinite horizon LQR problem. Finally, we provide a numerical example to demonstrate the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:74 / 82
页数:9
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