INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Extended MPC for closed-loop re-identification based on probabilistic invariant sets
Autor/es:
ANTONIO FERRAMOSCA; ALEJANDRO ANDERSON; ERNESTO KOFMAN; ALEJANDRO GONZÁLEZ
Lugar:
Buenos Aires
Reunión:
Congreso; XXVº Congreso Argentino de Control Automático (AADECA 2016); 2016
Institución organizadora:
AADECA
Resumen:
Recently, a Model Predictive Control (MPC) scheme suitable for closed-loop re-identication was proposed which solves, in a non-conservative form, thepotential con ict between the persistent excitation of the system and the stabilization.The idea is to use the concept of probabilistic invariance to dene a target set,and so to take advantage of the knowledge of the probabilistic distribution ofthe excitation signal to design a non-competitive two-objective MPC formulation.Although this proposal seems to work properly from an identication point of view(since uncorrelated output-input data are obtained), some theoretical properties of the formulation remains unexploited. In this work, new results are presented, focusing on the nite-time convergence to the target, which is necessary to start the second MPC objective of identication. Furthermore, several new simulation are developed to clearly show the new properties benets.