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New stabilization conditions for continuous fuzzy models using their discretized forms
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作者 Ellouze Ameni Mohamed Ksantini +2 位作者 Jimmy Lauber Francois Delmotte Mohamed Chtourou 《International Journal of Intelligent Computing and Cybernetics》 EI 2014年第4期397-414,共18页
Purpose–The purpose of this paper is to deal with the stabilization of the continuous-time TakagiSugeno(TS)fuzzy models by using their discretized models.Design/methodology/approach–In this case,a discrete model is... Purpose–The purpose of this paper is to deal with the stabilization of the continuous-time TakagiSugeno(TS)fuzzy models by using their discretized models.Design/methodology/approach–In this case,a discrete model is obtained from the discretization of the continuous TS fuzzy model.The gains obtained from a non-parallel distributed compensation controller ensuring the stabilization of the discrete model are used to check if the discrete control law used in the continuous time without any zero-order hold can stabilize the continuous TS model.Findings–This method is compared to another published method.Originality/value–Therefore,the originality of this paper consists in the fusion of the two continuous and discrete cases to obtain new stabilization conditions in the continuous case.Simulation examples show the interest of the proposed approach. 展开更多
关键词 Nonlinear control Fuzzy logic LMI Continuous-time T-S fuzzy models Discrete T-S models DISCRETIZATION nonquadratic Lyapunov functions Non-PDC control laws STABILIZATION
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