NDLI: Partial predictors for the supervision of a multimodel direct generalized predictive control of highly non stationary systems

Content Provider	IEEE Xplore Digital Library
Author	Messaoud, A. Ltaief, M. Ben Abdennour, R.
Copyright Year	2008
Description	Author affiliation: Ecole Nat. d'Ingnieurs de Gabes, Gabes (Messaoud, A.)
Abstract	The multimodel approach is recently developed in order to resolve the problems of the increasing complexity of many industrial processes. In this paper we propose a multi- model generalized predictive control based on a commutation algorithm. This commutation is controlled by partial predictors associated to the local controllers. These predictors constitute the supervisor. The control law is established to ensure the desired performances in closed loop in the presence of a highly non stationary system. The obtained results are very satisfactory and show a very good precision relatively to the case in which the classical direct adaptive generalized predictive control is adopted.
Starting Page	459
Ending Page	464
File Size	199470
Page Count	6
File Format	PDF
ISBN	9781424420780
ISSN	07431619
DOI	10.1109/ACC.2008.4586534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Predictive control Control systems Programmable control Adaptive control Electrical equipment industry Predictive models Industrial control Automatic control Power system modeling Switching systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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