A fuzzy-neural network for adaptive control of nonlinear dynamic systems

This paper presented an adaptive dynamic control scheme based on a fuzzy neural network. The control scheme presented utilizes both feedforward and feedback controller elements. The former of the two elements comprises a neural network with both an identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feed-forward controller provides only coarse control, whereas the feedback controller can generate online conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications.