Autor:
Nikolaou, Michael ; Eker, S. Alper
Współtwórca:
Tytuł:
Adaptive control through on-line optimization. The MPCI paradigm and variants
Podtytuł:
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
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.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
Strony:
Źródło:
AMCS, volume 9, number 1 (1999) ; kliknij tutaj, żeby przejść