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Moving horizon estimation for hybrid systems

Giancarlo Ferrari-trecate A (Institut national de recherche en sciences et technologies du numérique, ETH Zurich), D. Mignone (ETH Zurich, Automatic Control Laboratory), Manfred Morari (ETH Zurich, Automatic Control Laboratory)

IEEE Transactions on Automatic Control
Licence : CC BY-NC-ND

Résumé : We propose a state-smoothing algorithm for hybrid systems based on moving-horizon estimation (MHE) by exploiting the equivalence between hybrid systems modeled in the mixed logic dynamical form and piecewise affine systems. We provide sufficient conditions on the time horizon and the penalties on the state at the beginning of the estimation horizon to guarantee asymptotic convergence of the MHE scheme. Moreover, we propose two practical algorithms for the computation of penalties that allow us to implement MHE by solving a mixed-integer quadratic program.

Publié le 01 Oct. 2002