Fuzzy PD Control of Networked Control Systems Based on CMAC Neural Network

Abstract EN

The network and plant can be regarded as a controlled time-varying system because of the random induced delay in the networked control systems.

The cerebellar model articulation controller (CMAC) neural network and a PD controller are combined to achieve the forward feedback control.

The PD controller parameters are adjusted adaptively by fuzzy reasoning mechanism, which can optimize the control effect by reducing the uncertainty caused by the network-induced delay.

Finally, the simulations show that the control method proposed can improve the performance effectively.