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This paper, aiming at the predictive control problem in nonlinear complex system, puts forward fuzzy neural predictive control algorithm based on composite particle swarm optimization algorithm. Under the situation of unknown system model, prediction model is established by combining fuzzy logic with neural network. Meanwhile the effective and feasible predictive control method with well control performance is proposed by making use of composite particle swarm optimization algorithm to complete rolling optimization, so as to provide reliable theoretical foundation for solving practical problems of control system.

Automatic Predictive Control Algorithm and Emulation Technique Study