Linear quadratic regulation for linear time-varying systems with multiple input delays

被引:125
|
作者
Zhang, Huanshui [1 ]
Duan, Guangren
Xie, Lihua
机构
[1] Shandong Univ, Sch Control Sci & Engn, Shandong, Peoples R China
[2] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin, Peoples R China
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
关键词
discrete-time systems; continuous-time systems; multiple input delays; LQR; smoothing estimation; Riccati difference equation; Riccati differential equation;
D O I
10.1016/j.automatica.2006.04.007
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 studies the classic linear quadratic regulation (LQR) problem for both continuous-time and discrete-time systems with multiple input delays. For discrete-time systems, the LQR problem for systems with single input delay has been studied in existing literature, whereas a solution to the multiple input delay case is not known to our knowledge. For continuous-time systems with multiple input delays, the LQR problem has been tackled via an infinite dimensional system theory approach and a frequency/time domain approach. The objective of the present paper is to give an explicit solution to the LQR problem via a simple and intuitive approach. The main contributions of the paper include a fundamental result of duality between the LQR problem for systems with multiple input delays and a smoothing problem for an associated backward stochastic system. The duality allows us to obtain a solution to the LQR problem via standard projection in linear space. The LQR controller is simply constructed by the solution of one backward Riccati difference (for the discrete-time case) or differential (for the continuous-time case) equation of the same order as the plant (ignoring the delays). (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1465 / 1476
页数:12
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