Multiobjective H2/H∞ Control Design for Nonlinear Stochastic Chaotic Systems via a Front-Squeezing LMIs-Constrained MOEA
學年 110
學期 1
出版（發表）日期 2021-08-22
作品名稱 Multiobjective H2/H∞ Control Design for Nonlinear Stochastic Chaotic Systems via a Front-Squeezing LMIs-Constrained MOEA
作品名稱（其他語言） English
著者 Chien-Feng Wu; Chun-Fei Hsu; Chi-Kuang Hwang
單位
出版者
著錄名稱、卷期、頁數 International Journal of Fuzzy Systems 23, p.2371–2383
摘要 This study proposes the multiobjective H 2 =H1 fuzzy control design for a nonlinear stochastic chaotic system via concurrently optimizing H 2 and H1 perfor- mance indices in a Pareto optimal sense. Using the Takagi–Sugeno fuzzy model to approximate the nonlinear stochastic chaotic system, the multiobjective H 2 =H1 fuzzy control design problem can be transformed into a linear matrix inequalities (LMIs)-constrained multiobjective optimization problem (an LMIs-constrained MOP). By the help of the LMIs-constrained multiobjective evolution algorithm (LMIs-constrained MOEA), one can obtain the Pareto optimal controller. However, the existing LMIs- constrained MOEA usually couples with a heavy compu- tational load. This study proposes the front-squeezing LMIs-constrained MOEA to resolve such a computational cost problem. Finally, a simulation example is presented to verify the effectiveness of the proposed theories.
關鍵字 Multiobjective H2=H1 control  Takagi– Sugeno fuzzy model  Pareto optimal solution  Frontsqueezing linear matrix inequalities-constrained multiobjective evolution algorithm
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chun-Fei Hsu
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版