Dissipativity-based sampled-data fuzzy control design and its application to truck-trailer system
Date
2015
Authors
Wu, Z.
Shi, P.
Su, H.
Lu, R.
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Journal article
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IEEE Transactions on Fuzzy Systems, 2015; 23(5):1669-1679
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Zheng-Guang Wu, Peng Shi, Hongye Su, and Renquan Lu
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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.
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© 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.