標題: LQG optimal control of discrete stochastic systems under parametric and noise uncertainties
作者: Hsiao, Feng-Hsiag
Xu, Sheng-Dong
Wu, Shih-Lin
Lee, Gwo-Chuan
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: LQG optimal control;minimax controller;Kalman filter
公開日期: 1-May-2006
摘要: In this paper, the linear-quadratic-Gaussian (LQG) optimal control problem is considered and a robust minimax controller composed of the Kalman filter and the optimal regulator is synthesized to guarantee the asymptotic stability of the discrete time-delay systems under both parametric uncertainties and uncertain noise covariances. Designed procedures are finally elaborated with an illustrative example. (c) 2006 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jfranklin.2006.02.038
http://hdl.handle.net/11536/12298
ISSN: 0016-0032
DOI: 10.1016/j.jfranklin.2006.02.038
期刊: JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
Volume: 343
Issue: 3
起始頁: 279
結束頁: 294
Appears in Collections:Articles


Files in This Item:

  1. 000240413900010.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.