Fault detection for a class of networked control systems with finite-frequency servo inputs and random packet dropouts

2012 ◽  
Vol 6 (15) ◽  
pp. 2397-2408 ◽  
Author(s):  
Y. Long ◽  
G.-H. Yang
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Finite Frequency ◽  
Packet Dropouts

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.

scholarly journals Fault Detection for Quantized Networked Control Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Wei-Wei Che ◽  
Zhi-Yong Mei ◽  
Yu-Long Wang
Keyword(s):  
Fault Detection ◽  
Frequency Domain ◽  
Control Systems ◽  
Optimization Algorithm ◽  
Networked Control Systems ◽  
Networked Control ◽  
Finite Frequency ◽  
Detection Problem ◽  
Signal Quantization ◽  
Fault Sensitivity

The fault detection problem in the finite frequency domain for networked control systems with signal quantization is considered. With the logarithmic quantizer consideration, a quantized fault detection observer is designed by employing a performance index which is used to increase the fault sensitivity in finite frequency domain. The quantized measurement signals are dealt with by utilizing the sector bound method, in which the quantization error is treated as sector-bounded uncertainty. By using the Kalman-Yakubovich-Popov (GKYP) Lemma, an iterative LMI-based optimization algorithm is developed for designing the quantized fault detection observer. And a numerical example is given to illustrate the effectiveness of the proposed method.

Fault detection for networked control systems with quantization and Markovian packet dropouts

2015 ◽  
Vol 111 ◽  
pp. 106-112 ◽  
Author(s):  
Fangwen Li ◽  
Peng Shi ◽  
Xingcheng Wang ◽  
Ramesh Agarwal
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Packet Dropouts
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