Constrained robust model predictive control embedded with a new data-driven technique

In the control field, the adaptive model predictive control (AMPC) has the capability of taking effective control actions on unknown-but-bounded time-independent or slowly time-varying systems coupling with constraints. In essence, AMPC estimates the uncertain parameters or uncertainty set online by...

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Bibliographic Details
Published in:	IET control theory & applications Vol. 14; no. 16; pp. 2395 - 2405
Main Authors:	Yang, L, Lu, J, Xu, Y, Li, D, Xi, Y
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 05.11.2020
Subjects:	adaptive model predictive control AMPC closed loop systems constrained robust model predictive control control field control policy control system synthesis data‐driven concept data‐driven control methodology data‐driven model predictive control controller data‐driven RMPC algorithm data‐driven technique effective control actions historian data model estimation procedure model information model parameters predictive control Research Article robust control robust model predictive control architecture robust model predictive control framework time‐varying plant time‐varying systems uncertain systems unknown‐but‐bounded time‐independent utilising data time-varying systems AMPC adaptive model predictive control control policy constrained robust model predictive control data-driven technique control field effective control actions robust control model estimation procedure data-driven RMPC algorithm uncertain systems time-varying plant robust model predictive control architecture control system synthesis data-driven model predictive control controller historian data model information closed loop systems robust model predictive control framework data-driven concept model parameters data-driven control methodology utilising data predictive control unknown-but-bounded time-independent
ISSN:	1751-8644, 1751-8652
Online Access:	Get full text
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