基于广义BP算法的模型参考自适应控制

Model Reference Adaptive Control Based on Generalized BP Algorithm

改进了传统的神经网络BP算法,提出了基于广义BP算法的非线性不确定系统的神经网络模型参考自适应控制方案.并将其用于非线性不确定系统的控制,仿真实验表明了控制器具有良好的非线性控制性能.

The traditional BP neural network algorithm is improved and a kind of new neural network model reference adaptive control scheme of nonlinear uncertain system is proposed based on generalized BP algorithm.Then this controller is used to control a nonlinear uncertain system.The simulation experiment indicates that the controller has good nonlinear control performance.