Local Model Predictive Control for T-S Fuzzy Systems

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In this paper, a new linear matrix inequality-based model predictive control (MPC) problem is studied for discretetime nonlinear systems described as Takagi-Sugeno fuzzy systems. A recent local stability approach is applied to improve the performance of the proposed MPC scheme. At each time k, an optimal state-feedback gain that minimizes an objective function is obtained by solving a semidefinite programming problem. The local stability analysis, the estimation of the domain of attraction, and feasibility of the proposed MPC are proved. Examples are given to demonstrate the advantages of the suggested MPC over existing approaches.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2017-09
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON CYBERNETICS, v.47, no.9, pp.2556 - 2567

ISSN
2168-2267
DOI
10.1109/TCYB.2016.2616100
URI
http://hdl.handle.net/10203/272787
Appears in Collection
EE-Journal Papers(저널논문)
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