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A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

Mayank Kumar Gautam, Avadh Pati, Sunil Kumar Mishra, Bhargav Appasani, Ersan Kabalcı, Nicu Bizon, Phatiphat Thounthong

2021Sustainability33 citationsDOIOpen Access PDF

Abstract

Networked control systems (NCSs) are attracting the attention of control system engineers. The NCS has created a paradigm shift in control system technology. An NCS consists of control loops joined through communication networks in which both the control signal and the feedback signal are exchanged between the system and the controller. However, its materialization faces several challenges as it requires the integration of advanced control and communication techniques. This paper presents an extensive review of NCSs from the perspective of control system design. The evolution of NCSs is broadly divided in three phases, namely NCSs prior to 2000, NCSs during 2001–2010, and NCSs from 2011 onwards. This division corresponds to the initial status, intermediate status, and the recent status of the developments in the design of NCSs. The advancement of different control techniques during these phases has been discussed comprehensively. This paper also describes the transition of control systems form continuous domain to networked domain, which makes it better than the traditional control systems. Some important practical applications, which have been implemented using NCSs, have also been discussed. The thrust areas for future research on NCS have also been identified.

Topics & Concepts

Control systemControl engineeringControl (management)Networked control systemDomain (mathematical analysis)Controller (irrigation)Instrumentation and control engineeringSIGNAL (programming language)Computer scienceEngineeringControl theory (sociology)Process controlMathematicsProcess (computing)Artificial intelligenceMathematical analysisOperating systemProgramming languageElectrical engineeringAgronomyBiologyNetwork Time Synchronization TechnologiesPetri Nets in System ModelingStability and Control of Uncertain Systems
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