基于无源化方法的非线性系统自适应控制

Adaptive Control for Nonlinear System Using Passivity

研究了一种非线性系统的动态神经网络控制方案,利用无源化方法证明了其自适应控制系统的稳定性,并得到了动态神经网络系统的学习算法,仿真实验验证了本方法的有效性。

Adaptive of control nonlinear system using recurrent neural network is studied. Using passivity the stability of adaptive control system is proved, and the learning algorithms of recurrent neural networks is also gotten. The simulation demonstrates the validity of this methods.