Optimum design of fuzzy controllers for nonlinear systems using multi-objective particle swarm optimization

In this paper, a multi-objective particle swarm optimization algorithm is used to obtain the Pareto frontiers of the different commensurable and conflicting objective functions for fuzzy controller design. Also, the Lorenz dominance method is used to illustrate the equitable solutions. The nonlinear...

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Veröffentlicht in:	Journal of vibration and control 2016-02, Vol.22 (3), p.769-783
Hauptverfasser:	Mahmoodabadi, Mohammad Javad, Mottaghi, Mohammad Bagher Salahshoor, Mahmodinejad, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Controllers Design engineering Design optimization Dominance Dynamical systems Errors Fuzzy control Nonlinear systems Optimization algorithms Pendulums Swarm intelligence Vibration
Online-Zugang:	Volltext
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