Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach. (May 2020)
- Record Type:
- Journal Article
- Title:
- Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach. (May 2020)
- Main Title:
- Robust finite-time fault-tolerant control for networked control systems with random delays: A Markovian jump system approach
- Authors:
- Bahreini, Mohsen
Zarei, Jafar - Abstract:
- Abstract: In this paper, the problems of robust finite-time fault-tolerant stochastic stability and stabilization of networked control systems (NCSs) in the presence of random delays and actuator faults are investigated. First, sensor-to-controller and controller-to-actuator random delays are modeled as a Markov chain. Since in the network environment, the accurate access to the transition probabilities (TPs) of Markov chain is hard or even impossible, TPs information is limited. Then, by considering actuator fault indicator matrix and employing the state augmentation technique, the resulting closed-loop system is transformed into a Markovian jump system (MJS). Based on this model, the sufficient conditions are developed to ensure the finite-time fault-tolerant stochastic stability of the faulty NCS, and the fault-tolerant controllers are designed by solving a feasibility problem in terms of linear matrix inequalities (LMIs). The effectiveness of the proposed approach is illustrated during the simulation of a numerical example. Moreover, the faulty behavior of a continuous-stirred tank reactor (CSTR) is investigated and the applicability of the proposed method is demonstrated. Highlights: Network-induced random delays are modeled as a Markov chain with partly unknown TPs. A robust fault-tolerant controller (FTC) is designed to increase the reliability of NCSs. Static output feedback (SOF) FTC is designed through new LMIs. The designed SOF FTC guarantees finite-timeAbstract: In this paper, the problems of robust finite-time fault-tolerant stochastic stability and stabilization of networked control systems (NCSs) in the presence of random delays and actuator faults are investigated. First, sensor-to-controller and controller-to-actuator random delays are modeled as a Markov chain. Since in the network environment, the accurate access to the transition probabilities (TPs) of Markov chain is hard or even impossible, TPs information is limited. Then, by considering actuator fault indicator matrix and employing the state augmentation technique, the resulting closed-loop system is transformed into a Markovian jump system (MJS). Based on this model, the sufficient conditions are developed to ensure the finite-time fault-tolerant stochastic stability of the faulty NCS, and the fault-tolerant controllers are designed by solving a feasibility problem in terms of linear matrix inequalities (LMIs). The effectiveness of the proposed approach is illustrated during the simulation of a numerical example. Moreover, the faulty behavior of a continuous-stirred tank reactor (CSTR) is investigated and the applicability of the proposed method is demonstrated. Highlights: Network-induced random delays are modeled as a Markov chain with partly unknown TPs. A robust fault-tolerant controller (FTC) is designed to increase the reliability of NCSs. Static output feedback (SOF) FTC is designed through new LMIs. The designed SOF FTC guarantees finite-time stochastic stability of faulty NCSs. … (more)
- Is Part Of:
- Nonlinear analysis. Volume 36(2020)
- Journal:
- Nonlinear analysis
- Issue:
- Volume 36(2020)
- Issue Display:
- Volume 36, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 36
- Issue:
- 2020
- Issue Sort Value:
- 2020-0036-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Networked control systems -- Random delays -- Markovian jump systems -- Robust fault-tolerant control -- Finite-time stochastic stability
Nonlinear functional analysis -- Periodicals
Analyse fonctionnelle non linéaire -- Périodiques
Nonlinear functional analysis
Periodicals
515.7248 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1751570X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.nahs.2020.100873 ↗
- Languages:
- English
- ISSNs:
- 1751-570X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6117.315800
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