Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/100281
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Type: Journal article
Title: Dissipativity-based sampled-data fuzzy control design and its application to truck-trailer system
Author: Wu, Z.G.
Shi, P.
Su, H.
Lu, R.
Citation: IEEE Transactions on Fuzzy Systems, 2015; 23(5):1669-1679
Publisher: IEEE
Issue Date: 2015
ISSN: 1063-6706
1941-0034
Statement of
Responsibility: 
Zheng-Guang Wu, Peng Shi, Hongye Su, and Renquan Lu
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: Dissipative control; fuzzy systems; sampled-data control; truck-trailer system
Rights: © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
RMID: 0030037985
DOI: 10.1109/TFUZZ.2014.2374192
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
Appears in Collections:Electrical and Electronic Engineering publications

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