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Premium Prediction‐based Adaptive Robust Tracking Control of an Uncertain First‐Order Time‐Delay System
Author(s)
Suraj Nandiganahalli Jayaprakash,
Kwon Cheolhyeon,
Hwang Inseok
Publication year2020
Publication title
asian journal of control
Resource typeJournals
PublisherWiley
Abstract This paper considers the tracking problem of a delayed uncertain first‐order system which is simultaneously subject to (possibly large) known input delay, unknown but bounded time‐varying disturbance, and unknown plant parameter. The proposed predictor adaptive robust controller (PARC) involves prediction‐based projection type adaptation laws with model compensation and prediction‐based continuous robust feedback such that the closed loop system has global exponential convergence with an ultimate bound proportional to delay, disturbance bound, and switching gain. Further, if there are only delay and parameter uncertainties after some finite time, then semi‐global asymptotic tracking is guaranteed. The proposed design is shown to have significant closed loop performance improvement over the baseline controller.
Subject(s)adaptive control , agronomy , artificial intelligence , biology , bounded function , compensation (psychology) , computer science , control (management) , control engineering , control system , control theory (sociology) , controller (irrigation) , convergence (economics) , economic growth , economics , electrical engineering , engineering , mathematical analysis , mathematics , pedagogy , pid controller , psychoanalysis , psychology , robust control , smith predictor , temperature control , tracking (education) , tracking error , upper and lower bounds
Language(s)English
SCImago Journal Rank0.769
H-Index53
eISSN1934-6093
pISSN1561-8625
DOI10.1002/asjc.1857

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