Non-linear predictive generalised minimum variance state-dependent control

Grimble, Michael and Majecki, Pawel (2015) Non-linear predictive generalised minimum variance state-dependent control. IET Control Theory and Applications. pp. 2438-2450. ISSN 1751-8644 (https://doi.org/10.1049/iet-cta.2015.0356)

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Abstract

A non-linear predictive generalised minimum variance control algorithm is introduced for the control of nonlinear discrete-time state-dependent multivariable systems. The process model includes two different types of subsystems to provide a variety of means of modelling the system and inferential control of certain outputs is available. A state dependent output model is driven from an unstructured non-linear input subsystem which can include explicit transport delays. A multi-step predictive control cost function is to be minimised involving weighted error, and either absolute or incremental control signal costing terms. Different patterns of a reduced number of future controls can be used to limit the computational demands.

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  Item type:	Article
  ID code:	55874
  Dates:	Date Event 29 October 2015 Published 10 June 2015 Accepted
  Notes:	This paper is a postprint of a paper submitted to and accepted for publication in IET Control Theory and Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	14 Mar 2016 10:41
  Last modified:	28 Nov 2024 01:11
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/55874