To satisfy the requirement of real-time and accurate control system, a time-delay prediction system based on PSO-RBF neural network model is established to solve effect time delay system’s performance. Firstly, with predict output uncertainty delay. Secondly, an improved offline RBF networks proposed problem low accuracy in networks. that PSO algorithm prone fall into local optimality, nonlinea...

Control systems with digital communication between sensors, controllers and actuators are called as Networked Control Systems (NCSs). In general, NCSs encounter with some problems such as packet dropouts and network induced delays. When plant uncertainty is added to the aforementioned problems, the design of the robust controller that is able to guarantee the stability, becomes more complex. In...

This paper is concerned with the controller design of networked control systems. The continuous time plant with parameter uncertainty and state delay is studies. A new model of the networked control system is provided under consideration of the nonideal network conditions. In terms of the given model, a controller design method is proposed based on a delay dependent approach. The maximum allowa...

In this paper, the design of the optimal decentralized state-feedback controllers is considered for a wireless sensor and actuator network (WSAN) with stochastic network-induced delays and packet losses. In particular, taking advantage of multiple controllers, we model the WSAN as a wireless networked control system (NCS) with decentralized controllers, and then formulate the stochastic optimal...

Distributed control systems have been one of the most studied and challenging areas in control. Networked Control Systems (NCSs) are one type of distributed control systems where sensors, actuators and controllers are interconnected by communication networks. Integrating computer networks into control systems to replace the traditional point-to-point wiring has enormous advantages but on the ot...