New Results on $H_\infty$ Tracking Control Based on the T–S Fuzzy Model for Sampled-Data Networked Control System

2015 ◽  
Vol 23 (6) ◽  
pp. 2439-2448 ◽  
Author(s):  
Hui-Qin Xiao ◽  
Yong He ◽  
Min Wu ◽  
Shen-Ping Xiao ◽  
Jinhua She
Keyword(s):  
Control System ◽  
Tracking Control ◽  
Fuzzy Model ◽  
Networked Control System ◽  
Networked Control ◽  
Sampled Data

scholarly journals Robust Fault-Tolerant Tracking Control for Nonlinear Networked Control System: Asynchronous Switched Polytopic Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chaoyang Dong ◽  
Aojia Ma ◽  
Qing Wang ◽  
Zhaolei Wang
Keyword(s):  
Control System ◽  
Control Problem ◽  
Tracking Control ◽  
Fault Tolerant ◽  
Networked Control System ◽  
Networked Control ◽  
Linear Matrix ◽  
Switching Law ◽  
Tracking Controllers ◽  
Parameter Dependent

This paper is concerned with the robust fault-tolerant tracking control problem for networked control system (NCS). Firstly, considering the locally overlapped switching law widely existed in engineering applications, the NCS is modeled as a locally overlapped switched polytopic system to reduce designing conservatism and solving complexity. Then, switched parameter dependent fault-tolerant tracking controllers are constructed to deal with the asynchronous switching phenomenon caused by the updating delays of the switching signals and weighted coefficients. Additionally, the global uniform asymptotic stability in the mean (GUAS-M) and desired weightedl2performance are guaranteed by combining the switched parameter dependent Lyapunov functional method with the average dwell time (ADT) method, and the feasible conditions for the fault-tolerant tracking controllers are obtained in the form of linear matrix inequalities (LMIs). Finally, the performance of the proposed approach is verified on a highly maneuverable technology (HiMAT) vehicle’s tracking control problem. Simulation results show the effectiveness of the proposed method.

Robust H∞ Fuzzy Control for Nonlinear Networked Control System and its Application

2014 ◽  
Vol 1022 ◽  
pp. 406-410
Author(s):  
Qing Feng Wang ◽  
Hong Bo Wang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Fuzzy Model ◽  
Networked Control System ◽  
Networked Control ◽  
Design System ◽  
Membership Functions ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
Nonlinear Networked Control System

The paper studies the effect of networks with transmission delay in the feedback loop of a nonlinear networked control system (NCS). The nonlinear system is modeled by a T-S fuzzy model, and transmission delays are modeled by a finite state Markov process. The fuzzy controller’s membership functions can be different from the plant’s. The membership functions of the plant and the fuzzy controller are incorporated into the controller design. System performance is measured via an norm from disturbance to error and the controller is computed by sum of square approach. Finally we applied these results to an inverted pendulum system. Theoretical analysis and simulation results show that the control strategy studied in this paper is effective and feasible.

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