Title :
Min-max moving horizon estimation for a class of hybrid systems
Author :
Rowe, Canlile ; Maciejowski, Jctii
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
In this paper, a strategy for min-max moving horizon estimation (MHE) of a class of uncertain hybrid systems is proposed. The class of hybrid systems being considered are piecewise affine systems (PWA) with both continuous valued and logic components. Furthermore, we consider the case when there is a (possibly structured) norm bounded uncertainty in each subsystem. Sufficient conditions on the time horizon and the penalties on the state at the beginning of the estimation horizon to guarantee convergence of the MHE scheme will be provided. The MHE scheme will be implemented as a mixed integer semidefinite optimisation for which an efficient algorithm was recently introduced.
Keywords :
convergence; infinite horizon; integer programming; minimax techniques; state estimation; uncertain systems; MHE scheme convergence; min-max moving horizon estimation; mixed integer semidefinite optimisation; norm bounded uncertainty; piecewise affine systems; state estimation; uncertain hybrid systems; Convergence; Filtering; Logic; Monitoring; Nonlinear dynamical systems; Nonlinear filters; Observability; State estimation; Sufficient conditions; Uncertainty;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272551