Creator:

Nikolaou, Michael ; Eker, S. Alper

Contributor:

Kowalczuk, Zdzisław - red.

Title:

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

Subtitle:

.

Group publication title:

AMCS, volume 9 (1999)

Subject and Keywords:

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

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

Date:

1999

Resource Type:

artykuł

Pages:

25-52

Source:

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

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego