Nonlinear neural network controller for dynamic system

A learning type of controller using a neural network is proposed and compared with a conventional controller. The learning neural network controller can use not only quadratic error but also a more general cost function. A practical design method is proposed, and the advantages of the learning type of neural network controller in comparison with the adaptive type are discussed. Simulated and experimental results confirm the realization of nonlinear optimal control using the proposed controller