Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 347217, 10 pages
Research Article

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

College of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China

Received 16 November 2012; Revised 4 December 2012; Accepted 5 December 2012

Academic Editor: Peng Shi

Copyright © 2012 Li-lian Huang and Jin Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.