Application of Neural Network in Control Problem

This talk introduces several kinds of neural-network-based adaptive control systems. These control systems combine the advantages of neural network identification, adaptive control and robust control techniques. These neural networks include recurrent neural network (RNN), recurrent fuzzy neural network (RFNN), cerebellar model articulation controller (CMAC) and recurrent cerebellar model articulation controller (RCMAC). Moreover, their applications in control problems are demonstrated to illustrate the effectives of these control systems.