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Remote Fault-Tolerant Control for Industrial Smart Surveillance System

Author

Listed:
  • Atif Mahmood
  • Abdul Qayyum Khan
  • Ghulam Mustafa
  • Nasim Ullah
  • Muhammad Abid
  • Aadil Sarwar Khan

Abstract

We design a remote fault-tolerant control for an industrial surveillance system. The designed controller simultaneously tolerates the effects of local faults of a node, the propagated undesired effects of neighboring connected nodes, and the effects of network-induced uncertainties from a remote location. The uncertain network-induced time delays of communication links from the sensor to the controller and from the controller to the actuator are modeled using two separate Markov chains and packet dropouts using the Bernoulli process. Based on linear matrix inequalities, we derive sufficient conditions for output feedback-based control law, such that the controller does not directly depend on output, for stochastic stability of the system. The simulation study shows the effectiveness of the proposed approach.

Suggested Citation

  • Atif Mahmood & Abdul Qayyum Khan & Ghulam Mustafa & Nasim Ullah & Muhammad Abid & Aadil Sarwar Khan, 2021. "Remote Fault-Tolerant Control for Industrial Smart Surveillance System," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, June.
    • Handle: RePEc:hin:jnlmpe:9927113
    DOI: 10.1155/2021/9927113
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    Cited by:

    1. Atif Mahmood & Abdul Qayyum Khan & Nasim Ullah & Adil Sarwar Khan & Muhammad Asim Abbasi & Alsharef Mohammad & Abdulfattah Noorwali, 2023. "Faults Modeling in Networked Environment and Its Tolerant Control with Multiple Simultaneous Faults," Mathematics, MDPI, vol. 11(4), pages 1-14, February.

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