Adaptive control through on-line optimization. The MPCI paradigm and variants

Nikolaou, Michael; Eker, S. Alper

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Title: Adaptive control through on-line optimization. The MPCI paradigm and variants

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AMCS, volume 9 (1999)

Abstract:

A new variant of Model Predictive Control and Identification (MPCI) is proposed. The on-line objective is not to minimize the sum of square errors, but to maximize on-line the sum of the lower bounds on the minimum eigenvalues of the information matrices over finite horizons. ; In that way, inputs to the controlled process are allowed to excite the process highly enough to generate as much modelling information as possible, while the process goes off-spec as little as possible. Constraints can be loosened or tightened according to the need for identification. The effectiveness of the proposed new methodology is illustrated through a number of simulations.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

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oai:zbc.uz.zgora.pl:58159

Pages:

25-52

Source:

AMCS, volume 9, number 1 (1999) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

adaptive control model predictive control closed-loop identification persistent excitation linear matrix inequalities semidefinite programming

Object collections:

Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering

Digital Library of Zielona Góra > Repository > Types of work > Articles

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1999)

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mechanics and Engineering (IJAME)

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Sep 3, 2021

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Jan 19, 2021

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https://zbc.uz.zgora.pl/publication/64774

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International Journal of Applied Mathematics and Computer Science (AMCS)

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Adaptive control through on-line optimization. The MPCI paradigm and variants	Sep 3, 2021

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