Title :
Fault detection for networked control systems with time delays and data losses
Author :
Wang Qing ; Wang Zhaolei ; Ma Aojia ; Dong Chaoyang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
This paper concerns with the fault detection problem for a class of networked control systems with delays and data losses. Considering the stochastic characteristic of the delays and data losses, discrete-time Markov jump linear system models with partially known transition probabilities are established. Based on the obtained models, fault detection filters are designed, and the addressed fault detection problem is converted into a H∞ filtering problem. Then, the sufficient existence conditions of the fault detection filters and the solving method are simultaneously derived. Furthermore, a time domain optimization approach is proposed to improve the performance of the fault detection system. Finally, a networked control system is considered to validate the effectiveness of the proposed method.
Keywords :
H∞ filters; Markov processes; delays; discrete time systems; fault diagnosis; linear systems; networked control systems; optimisation; probability; H∞ filtering problem; data losses; discrete-time Markov jump linear system models; fault detection filters; networked control systems; partially known transition probabilities; sufficient existence conditions; time delays; time domain optimization approach; Delay effects; Fault detection; Markov processes; Networked control systems; Optimization; Robustness; Vectors; data loss; fault detection; networked control systems; time delay;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
DOI :
10.1109/ICARCV.2014.7064538