Enhanced receding horizon optimal performance for online tuning of PID controller parameters

Wu, Y, Li, S and Li, K orcid.org/0000-0001-6657-0522 (2018) Enhanced receding horizon optimal performance for online tuning of PID controller parameters. International Journal of Modelling, Identification and Control, 29 (3). pp. 209-217. ISSN 1746-6172

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This paper is protected by copyright. This is an author produced version of a paper published in International Journal of Modelling, Identification and Control. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: online parameter optimisation; PID controller; model predictive control; MPC; tracking performance; control energy
Dates:
  • Published: 11 April 2018
  • Accepted: 8 March 2017
  • Published (online): 11 April 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Nov 2018 16:35
Last Modified: 11 Apr 2019 00:43
Status: Published
Publisher: Inderscience
Identification Number: https://doi.org/10.1504/IJMIC.2018.091239

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