DocumentCode :
1758349
Title :
Brief paper - Finite-time stabilisation for markov jump systems with gaussian transition probabilities
Author :
Xiaoli Luan ; Peng Shi ; Fei Liu
Author_Institution :
Key Lab. of Adv. Control for Light Ind. Processes, Jiangnan Univ., Wuxi, China
Volume :
7
Issue :
2
fYear :
2013
fDate :
Jan. 17 2013
Firstpage :
298
Lastpage :
304
Abstract :
The problems of finite-time analysis and design for a class of Markov jump systems with Gaussian transition probabilities (TPs) are investigated in this study. Gaussian TP density function is introduced to quantise the stochastic uncertain information of TPs. Mode-dependent and variation-dependent controller is designed to make the resulting closed-loop systems finite-time bounded and finite-time stabilisable for all admissible unknown external disturbances and random uncertain TPs. It is shown that the approach proposed in the paper dealing with TPs outperforms available ones in literature to date, which is also confirmed by a numerical example.
Keywords :
Gaussian processes; Markov processes; closed loop systems; control system synthesis; stability; stochastic processes; Gaussian TP density function; Gaussian transition probabilities; Markov jump systems; TP; closed-loop systems; finite time analysis; finite time design; finite time stabilisation; mode dependent controller; stochastic uncertain information; variation dependent controller;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2012.0509
Filename :
6525630
Link To Document :
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