DocumentCode
2310744
Title
Design of networked control systems with partly unknown Markovian transition probabilities
Author
Hui, Guotao ; Zhang, Huaguang ; Wang, Yingchun ; Dong, Meng
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
6
Abstract
This paper is concerned with the design problem of networked control systems with partly unknown transition probabilities. Firstly, a new time-delay switched linear system model is proposed for NCSs, in which both the network-induced delay and the packet dropouts are taken into account. A developed packet dropouts dependent Lyapunov functional is used to obtain the stability criteria, in which the method for treating the uncertainties of partly unknown transition probabilities is embedded. Furthermore, the state feedback controller can be designed. Moreover, because the partly unknown transition probabilities in our study do not need any bounds or structures of uncertainties, the obtained stability criteria can expand to the case that the time-delay switched linear system model under arbitrary switching. Finally, numerical example and simulation is used to illustrate the developed theory.
Keywords
Lyapunov methods; Markov processes; control system synthesis; delays; distributed control; linear systems; stability criteria; state feedback; Lyapunov functional; network induced delay; networked control system design; packet dropouts; partly unknown Markovian transition probability; stability criteria; state feedback controller; time delay switched linear system model; Delay; Linear matrix inequalities; Linear systems; Markov processes; Stability criteria; Switches; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location
Barcelona
ISSN
1098-7584
Print_ISBN
978-1-4244-6919-2
Type
conf
DOI
10.1109/FUZZY.2010.5584560
Filename
5584560
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