DocumentCode :
3600865
Title :
Dissipativity-Based Sampled-Data Fuzzy Control Design and its Application to Truck-Trailer System
Author :
Zheng-Guang Wu ; Peng Shi ; Hongye Su ; Renquan Lu
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume :
23
Issue :
5
fYear :
2015
Firstpage :
1669
Lastpage :
1679
Abstract :
This paper is concerned with the problem of dissipative control for Takagi-Sugeno fuzzy systems under time-varying sampling with a known upper bound on the sampling intervals. Based on the time-dependent Lyapunov-Krasovskii functional approach, which makes full use of the available information about the actual sampling pattern, a sufficient condition is established to guarantee the sampled-data systems to be exponentially stable and strictly (Q, S, R)-γ-dissipative. Based on the criterion, a design algorithm for the desired sampled-data controller is proposed. The effectiveness and benefits of the results developed in this paper is demonstrated by a controller design for a truck-trailer system.
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; road vehicles; sampled data systems; sampling methods; time-varying systems; Takagi-Sugeno fuzzy system; design algorithm; dissipativity-based sampled-data fuzzy control design; exponential stability; sampling interval; sampling pattern; sufficient condition; time-dependent Lyapunov-Krasovskii functional approach; time-varying sampling; truck-trailer system; Delays; Educational institutions; Fuzzy systems; State feedback; Symmetric matrices; Time-varying systems; Dissipative control; Fuzzy systems; fuzzy systems; sampled-data control; truck-trailer system;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2014.2374192
Filename :
6965594
Link To Document :
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