### Network control system based on adaptive fuzzy neural network controller

MENG Xie1, HU Yazhou2, CHEN Xiao2

1. 1.School of Management and Engineering, Nanjing University, Nanjing 210008, China
2.School of Automation, Northwestern Ploytechnical University, Xi’an 710129, China
• Online:2015-09-15 Published:2015-10-13

### 基于自适应模糊神经网络控制器的网络控制系统

1. 1.南京大学 工程管理学院，南京 210008
2.西北工业大学 自动化学院，西安 710129

Abstract: Time delay, loss of the data packet and disturbance exist in the network control system. For solving this problem, a new network system based on adaptive fuzzy neural network controller is proposed. According to the error of the system between the actual output and the predicted output, this controller can be adjusted to conform to the requirements of the system by the principle of adaptive fuzzy control and self-learning of neural network control. And the main factors influencing the performance of this system, including time delay, loss rate of data packets and disturbance, are analyzed. A simulation model is established by the TrueTime toolbox with adaptive fuzzy neural network controller for network control system. Compared with the conventional PID controller and PID controller based on fuzzy control, the experimental results show that under the same network environment, adaptive fuzzy neural network controller has the better effect than the conventional PID controller and PID controller based on fuzzy control. Most importantly, the controller designed has better anti-jamming capability and robust performance.