H∞ Control for Networked Control Systems with Random Time-delay and Missing Measurement

Author(s):  
Chuanxu Qiu ◽  
Wei Feng ◽  
Jiwei Wen ◽  
Li Peng
2013 ◽  
Vol 441 ◽  
pp. 833-836
Author(s):  
Zai Ping Chen ◽  
Xue Wang

According to the random time-delay exist in sensor-controller channel and controller-actuator channel in networked control systems, an adaptive predictive control strategy was proposed. In this control strategy, an improved generalized predictive control algorithm is adopted to compensate the networked random time-delay. In addition, using the recursive least squares with a variable forgetting factor algorithm to indentify the model parameters of controlled object on-line, through the way, it could adjust the systems with unknown parameters adaptively. Simulation results show that the adaptive predictive control proposed could solve random time-delay of networked control systems effectively.


2008 ◽  
Vol 41 (2) ◽  
pp. 11594-11599 ◽  
Author(s):  
Chih-Chung Chen ◽  
Sandra Hirche ◽  
Martin Buss

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yanfeng Wang ◽  
Peiliang Wang ◽  
Zuxin Li ◽  
Huiying Chen

This paper investigates the observer-based controller design problem for a class of nonlinear networked control systems with random time-delays. The nonlinearity is assumed to satisfy a global Lipschitz condition and two dependent Markov chains are employed to describe the time-delay from sensor to controller (S-C delay) and the time-delay from controller to actuator (C-A delay), respectively. The transition probabilities of S-C delay and C-A delay are both assumed to be partly inaccessible. Sufficient conditions on the stochastic stability for the closed-loop systems are obtained by constructing proper Lyapunov functional. The methods of calculating the controller and the observer gain matrix are also given. Two numerical examples are used to illustrate the effectiveness of the proposed method.


Sign in / Sign up

Export Citation Format

Share Document