@misc{Nikolaou_Michael_Adaptive,
 author={Nikolaou, Michael and Eker, S. Alper},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 abstract={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.},
 type={artykuł},
 title={Adaptive control through on-line optimization. The MPCI paradigm and variants},
 keywords={adaptive control, model predictive control, closed-loop identification, persistent excitation, linear matrix inequalities, semidefinite programming},
}