Improved cooperative particle swarm optimizer for design of fuzzy neural network control system
An improved cooperative PSO(ICPSO) is proposed for the cooperative PSO' incapable of converging at the local or global optimum.It is proved that the algorithm can converge at the global optimization solution with probability one.ICPSO is applied to the neural network modeling of a nonlinear plant,and also employed to the offline and online training of the fuzzy neural network adaptive controller in the system.Simulation results show that ICPSO has advantages of increasing the precision and enhancing the generalization capability of the model,and the fuzzy neural network(FNN) controller trained by ICPSO is effective for the system control.