Multiobjective H2/H∞ Control Design for Nonlinear Stochastic Chaotic Systems via a Front-Squeezing LMIs-Constrained MOEA
In: International Journal of Fuzzy Systems, Jg. 23 (2021-08-22), S. 2371-2383
Online
unknown
Zugriff:
This study proposes the multiobjective $$H_{2}/H_{{\infty }}$$ fuzzy control design for a nonlinear stochastic chaotic system via concurrently optimizing $$H_{2}$$ and $$H_{{\infty }}$$ performance indices in a Pareto optimal sense. Using the Takagi–Sugeno fuzzy model to approximate the nonlinear stochastic chaotic system, the multiobjective $$H_{2}/H_{{\infty}}$$ 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 computational 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.
Titel: |
Multiobjective H2/H∞ Control Design for Nonlinear Stochastic Chaotic Systems via a Front-Squeezing LMIs-Constrained MOEA
|
---|---|
Autor/in / Beteiligte Person: | Hsu, Chun-Fei ; Hwang, Chi-Kuang ; Wu, Chien-Feng |
Link: | |
Zeitschrift: | International Journal of Fuzzy Systems, Jg. 23 (2021-08-22), S. 2371-2383 |
Veröffentlichung: | Springer Science and Business Media LLC, 2021 |
Medientyp: | unknown |
ISSN: | 2199-3211 (print) ; 1562-2479 (print) |
DOI: | 10.1007/s40815-021-01149-z |
Schlagwort: |
|
Sonstiges: |
|