Analysis and design for delay-dependent discrete-time switched networked control system

2011 ◽  
Author(s):  
Hongyan Chu ◽  
Chunmei Xia
Keyword(s):  
Control System ◽  
Discrete Time ◽  
Networked Control System ◽  
Networked Control ◽  
Analysis And Design ◽  
Delay Dependent

The Simulation Platform of Network Control System

2012 ◽  
Vol 562-564 ◽  
pp. 1434-1437
Author(s):  
Chen Liang ◽  
Jun Lin
Keyword(s):  
Control System ◽  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control System ◽  
Network Control ◽  
Networked Control ◽  
Control Technique ◽  
Simulation Platform ◽  
Analysis And Design ◽  
Technology Control

With the development of electronic technology, computer and networked communication technology, control system is speeding up from close and centralized architecture to being open and distributed, to satisfy the continuous developing requirement of control quality and management. Networked control system is gradually formed in the process, and soon become one of the most important domains of control technique. One of the research of networked control systems is the effect of network upon control systems .A simulation platform of networked control systems is designed for this purpose. Matlab is used to build models of real systems. The simulation platform gives good environment for the analysis and design of networked control systems.

Modeling and Stability Analysis of Multi-Rate Networked Control Systems with Multiple Control Loops

2010 ◽  
Vol 139-141 ◽  
pp. 1827-1833 ◽  
Author(s):  
Dian Ting Liu ◽  
De Jian Zhou ◽  
Yao Ming Liu
Keyword(s):  
Control System ◽  
Networked Control Systems ◽  
Sampling Period ◽  
Networked Control System ◽  
Network Control ◽  
Networked Control ◽  
Control Loop ◽  
Multiple Control ◽  
Control Loops ◽  
Analysis And Design

A kind of multi-input and multi-output network control system with multiple independent control loops is examined in this paper. The controller of each control loop is connected with the sensor and actuator by a network and each control loop has a different sampling period. The whole mathematical model of this kind of networked control system is set up when the maximum network-induced delay is smaller than one sampling period. And the sufficient condition subject to the asymptotic stability of this kind of networked control system is derived based on the theorem for estimation of feature value deduced from perturbation theory. The research results of this paper have significance in the analysis and design of this kind of networked control system or a similar networked control system.

Stability of Networked Control System (NCS) with discrete time-driven PID controllers

2015 ◽  
Vol 42 ◽  
pp. 41-49 ◽  
Author(s):  
Soumya Dasgupta ◽  
Kaushik Halder ◽  
Shohan Banerjee ◽  
Amitava Gupta
Keyword(s):  
Control System ◽  
Discrete Time ◽  
Networked Control System ◽  
Networked Control ◽  
Pid Controllers

Modeling and Delay-Dependent Stability Analysis of Multi-Sampling Rate MIMO Networked Control System with State Feedback

2013 ◽  
Vol 313-314 ◽  
pp. 565-570 ◽  
Author(s):  
Dian Ting Liu ◽  
Cui Zhang
Keyword(s):  
Control System ◽  
State Feedback ◽  
Linear Time ◽  
Sampling Rate ◽  
Networked Control System ◽  
Networked Control ◽  
Delay Systems ◽  
Control Loop ◽  
Delay Dependent ◽  
Delay Dependent Stability

A kind of multi-sampling rate MIMO Multi-Input & Multi-Output) networked control system with state feedback in which the controller of each control loop is connected with the sensor and actuator by a network and each control loop has a different sampling period, is studied in this paper. At first its model is set up, and then this linear time-varying multi-sampling rate system is converted into a single high-dimensional linear time-invariant system by lifting technological method. Next the delay-dependent stability condition was deduced based on the Lyapunov stability criterion and the linear matrix inequality approach and the delay systems theory Finally, a given numerical example demonstrates the correctness and the effectiveness of the derivation method in this paper.

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