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Performance Accretion in Delay Compensation of Networked Control System Using Markov Approach-Based Randomness Estimation in Smith Predictor

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  • Ratish Kumar

    (Jaypee University of Information Technology, India)

  • Rajiv Kumar

    (Jaypee University of Information Technology, India)

  • Madhav Ji Nigam

    (Jaypee University of Information Technology, India)

Abstract

By the second decade of the 21st century, there has been a multi-faceted technological development in the field of networked control system (NCS). This progression in NCS has not only revealed its significant applications in various areas but has also unveiled various difficulties associated with it that hampered the operations of networked control system. Network-induced delays are issues that promote many other issues like packet dropout and brevity in bandwidth utilization. In this research article, network-induced delay has been curtailed by using the harmony between Smith predictor and Markov approach. The error estimation of the Smith predictor controller used for the simulation is carried out through a Markov approach which allows the control of the system to operate smoothly by optimizing the control signal. To implement the proposed method, the authors have simulated a third order system in Matlab/Simulink software.

Suggested Citation

  • Ratish Kumar & Rajiv Kumar & Madhav Ji Nigam, 2022. "Performance Accretion in Delay Compensation of Networked Control System Using Markov Approach-Based Randomness Estimation in Smith Predictor," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 11(1), pages 1-17, January.
    • Handle: RePEc:igg:jsda00:v:11:y:2022:i:1:p:1-17
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