一类时变非线性离散系统的分散自适应控制

Decentralized Adaptive control of a class of time varying nonlinear discrete systems

把自适应的概念和神经网络理论相结合，本文提出了采用神经网络的分散自适应控制算法。系统中的神经网络用作辨识和控制器，这个算法适用于一类时变非线性离散系统。对算法的稳定性进行了分析。

Combining the theory of neural networks with the concept of adaptation, This paper presents a decentralized adaptive control algorithm using neural networks. The neural networks in this system are employed to predict the plant and used as a controller. This algoriothm can be appllied to a class of nonlinear discrete systems. The stablilty of the system is also analysed. Simulation example shows the effectness of the proposed method.