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New Time-varying Fuzzy Sets Based on a PSO Midpoint of the Universe of Discourse
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作者 Salim Ziani 《International Journal of Automation and computing》 EI CSCD 2016年第4期392-400,共9页
The paper presents a robust parallel distributed compensation (PDC) fuzzy controller for a nonlinear and certain system in continuous time described by the Tal^gi-Sugeno (T-S) fuzzy model. This controller is based... The paper presents a robust parallel distributed compensation (PDC) fuzzy controller for a nonlinear and certain system in continuous time described by the Tal^gi-Sugeno (T-S) fuzzy model. This controller is based on a new type of time-varying fuzzy sets (TVFS). These fuzzy sets are characterized by displacement of the kernels to the right or left of the universe of discourse, and they are directed by a well-defined criterion. In this work, we only focused on the movement of midpoint of the universe. The movements of this midpoint are optimized by particle swarm optimization (PSO) approach. 展开更多
关键词 fuzzy sets fuzzy system membership function parallel distributed compensation (PDC) fuzzy controller particle swarmoptimization (PSO) approach linear matrix inequality (LMI).
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