Event-based fault detection for T–S fuzzy systems with packet dropouts and (x, v)-dependent noises

2017 ◽  
Vol 138 ◽  
pp. 211-219 ◽  
Author(s):  
Ming Gao ◽  
Li Sheng ◽  
Donghua Zhou ◽  
Yichun Niu
Keyword(s):  
Fault Detection ◽  
Fuzzy Systems ◽  
Packet Dropouts ◽  
Event Based

Event-Based Control for Networked T–S Fuzzy Systems via Auxiliary Random Series Approach

2020 ◽  
Vol 50 (5) ◽  
pp. 2166-2175 ◽  
Author(s):  
Ziran Chen ◽  
Baoyong Zhang ◽  
Yijun Zhang ◽  
Qian Ma ◽  
Zhengqiang Zhang
Keyword(s):  
Fuzzy Systems ◽  
Random Series ◽  
Event Based

scholarly journals Active-Varying Sampling-Based Fault Detection Filter Design for Networked Control Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Long Wang ◽  
Tian-Bao Wang ◽  
Wei-Wei Che
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Networked Control Systems ◽  
Filter Design ◽  
Sampling Period ◽  
Networked Control ◽  
Packet Dropouts ◽  
Fault Detection Filter ◽  
Simulation Results ◽  
Detection Filter

This paper is concerned with fault detection filter design for continuous-time networked control systems considering packet dropouts and network-induced delays. The active-varying sampling period method is introduced to establish a new discretized model for the considered networked control systems. The mutually exclusive distribution characteristic of packet dropouts and network-induced delays is made full use of to derive less conservative fault detection filter design criteria. Compared with the fault detection filter design adopting a constant sampling period, the proposed active-varying sampling-based fault detection filter design can improve the sensitivity of the residual signal to faults and shorten the needed time for fault detection. The simulation results illustrate the merits and effectiveness of the proposed fault detection filter design.

Fault detection for T–S fuzzy systems with past output measurements

2019 ◽  
Vol 365 ◽  
pp. 98-115 ◽  
Author(s):  
Xiao-Lei Wang ◽  
Guang-Hong Yang
Keyword(s):  
Fault Detection ◽  
Fuzzy Systems

Simultaneous Fault Detection and Control for Continuous-Time Switched T-S Fuzzy Systems with State Jumps

2021 ◽  
Author(s):  
Ayyoub Ait Ladel ◽  
Abdellah Benzaouia ◽  
Rachid Outbib ◽  
Mustapha Ouladsine
Keyword(s):  
Fault Detection ◽  
Fuzzy Systems ◽  
Degrees Of Freedom ◽  
Average Dwell Time ◽  
Single Step ◽  
Linear Matrix ◽  
Matrix Inequalities ◽  
Robust Detection ◽  
And Control ◽  
Detector Design

Abstract This paper addresses the simultaneous fault detection and control (SFDC) issue for switched T-S fuzzy systems with state jumps. The main objective is to design robust detection filters and observer-based controllers to stabilize this system class and, at the same time, detect the presence of faults. Less conservative stability conditions are developed, applying the mode-dependent average dwell time (MDADT) concept, the robust H_{\infty} approach, and the piecewise Lyapunov function (PLF) technique. Based on these conditions, the integrated controller and detector design is formalized in the form of linear matrix inequalities (LMI) instead of bilinear matrix inequalities (BMI). The proposed LMIs determine the controller/ detector gains simultaneously in a single step, thus offering more degrees of freedom in the design. Finally, a numerical example and two real systems examples are studied to prove the applicability and effectiveness of the obtained results.

Sign in / Sign up

Export Citation Format

Share Document