复合神经网络控制器的可解性及求解方法

ON SOLVABILITY AND DESIGN METHODS OF COMPOSITE NEURAL NETWORK CONTROLLERS

根据复合神经网络控制器的可分性，本文从理论上证明了此类控制器是可解的，并以此为依据，给出了复合网络控制器的求解步骤，并给出应用实例，为复合网络控制器的实际应用提供了理论依据和使用方法．

According to the decomposability of composite neural network controllers,this paper proves theoretically,that this kind of controllers is solvable.The controller design method is described clearly with an example.