摘要
研究一类基于模糊神经混合系统的自适应控制方法,利用模糊推理机产生的分目标学习误差代替反馈控制器的输出信号训练神经网络,避免了控制器的输出产生振荡或进入饱和状态,使得学习过程快速稳定并将该方法用于非线性系统和火电厂汽包水位的控制系统中,仿真结果表明其有效性。
In this paper, a class of hybrid systems based on fuzzy neural adaptive control method, the use of fuzzy inference engine sub-goal generated by studying the error feedback controller in place of the output signal of training neural networks, the controller output to avoid oscillation or have access to saturation, making the learning process and the express method for the stability of nonlinear systems and thermal power plants of the drum water level control system. Simulation results show its effectiveness.
