BP neural network control for a class of nonlinear systems

A method based on BP neural network is proposed for a class of nonlinear SISO systems. It fits the nonlinear part of the system by learning the weight coefficients of the network on-line, designs the control rules to linearize the system, and assure the global stability. In this paper, the method is popularized in the MIMO systems. Experimental Results of two examples demonstrate the performance of our approach .