DocumentCode :
2902950
Title :
Model predictive control suitable for closed-loop re-identification
Author :
Gonzalez, A.H. ; Ferramosca, Antonio ; Bustos, G.A. ; Marchetti, J.L. ; Odloak, D.
Author_Institution :
Inst. of Technol. Dev. for the Chem. Ind. (INTEC), Univ. Nac. del Litoral (UNL)., Santa Fe, Argentina
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
1709
Lastpage :
1714
Abstract :
The main problem of a closed-loop re-identification procedure is that, in general, the dynamic control and identification objectives are conflicting. In fact, to perform a suitable identification a persistent excitation of the system is needed, while the control objective is to stabilize the system to a given equilibrium point. In this work, a generalization of the concept of stability, from punctual stability to (invariant) set stability, is studied to avoid the conflict between these objectives. Furthermore, a persistent excitation scheme is proposed to properly perform a closed-loop re-identification. Simulation results show the propose controller formulation properties.
Keywords :
closed loop systems; identification; predictive control; stability; closed-loop reidentification; controller formulation properties; dynamic control; equilibrium point; identification objectives; model predictive control; punctual stability; set stability; system stabilization; Closed loop systems; Convergence; Cost function; Lyapunov methods; Predictive control; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580082
Filename :
6580082
Link To Document :
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