模糊调整自适应神经网络在非线性系统中的应用

Adaptive neural network and its application in nonlinear system

文中提出基于模糊调整的自适应神经网络控制策略,将其应用到非线性系统的仿真研究中。应用模糊推理机在线训练神经网络,同时构造了鲁棒控制器。仿真结果表明,该控制策略具有较快的调节速度和较好的稳定性。

An adaptive neural network control strategy based on fuzzy self-tuning is presented. The strategy is applied to the simulation of nonlinear system. Fuzzy inference engine is used to train neural network online and robust controller is also constructed. Simulation results demonstrate the quick calculate speed and satisfactory stability of the strategy.