Adaptive Network Sliding-Mode Fuzzy Logic Control Systems

Centralized direct digital control systems have several drawbacks, for example, massive wiring requirements, difficult diagnosis, and difficult fault detection procedures. Most of these drawbacks may impose heavy costs on the maintenance of the control system. These disadvantages have given rise to the development of NCSs. In a network-based control system, sensors, actuators, controllers, human–machine interfaces, and other possible components of the system share their data over a network [1]. In this chapter, adaptive network sliding mode fuzzy logic control system approach is explained. Lyapunov stability analysis is used to analyze the stability of the studied controller.