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In this paper, a fuzzy gain scheduling control approach based on gain and phase margins specifications for nonlinear systems with time varying delay, is proposed. A multi-objective particle swarm optimization (MPSO) strategy is defined to tune the fuzzy gain scheduling controller parameters for each operating condition, so the gain and phase margins of the fuzzy control system are close to specified...
In this paper a method for recursive Takagi Sugeno fuzzy model identification using weighted recursive least squares with optimal initial condition of the parameters based on particle swarm optimization (PSO) applied to static nonlinear and time-variant delay systems is proposed. For this approach, it is used a priori knowledge of the nonlinearities of interest in the system to improve the quality...
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