Title | ||
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A Multiple-Parameterization Approach for local stabilization of constrained Takagi-Sugeno fuzzy systems with nonlinear consequents. |
Abstract | ||
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This paper addresses the local stabilization of constrained nonlinear systems with input saturation described by Takagi-Sugeno fuzzy models with nonlinear consequents. To reduce the design conservativeness, we propose a new delayed multiple-parameterization control approach based on a nonquadratic Lyapunov function with multiple delayed fuzzy summations. Both input saturation and state constraints are explicitly taken into account in the control design procedure. This multiple-parameterization condition is given in terms of linear matrix inequalities. Compared to existing results, the new approach offers a unified and concise control framework to design both non-delayed and delayed multidimensional nonlinear fuzzy controllers. Numerical examples are provided to demonstrate the effectiveness of the proposed multiple-parameterization approach in both reducing the design conservativeness and enlarging the estimation of the domain of attraction. |
Year | DOI | Venue |
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2020 | 10.1016/j.ins.2019.08.008 | Information Sciences |
Keywords | Field | DocType |
Takagi-Sugeno fuzzy systems,Input saturation,Local stabilization,Delayed control,Nonquadratic Lyapunov functions | Lyapunov function,Nonlinear system,Parametrization,Matrix (mathematics),Control theory,Fuzzy logic,Artificial intelligence,Fuzzy control system,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
506 | 0020-0255 | 4 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pedro Henrique S. Coutinho | 1 | 4 | 0.38 |
Rodrigo Araujo | 2 | 20 | 3.03 |
anhtu nguyen | 3 | 61 | 10.29 |
Reinaldo M. Palhares | 4 | 467 | 41.12 |