Uniformly convergent sliding mode‐based observation for switched linear systems

Diego Mincarelli 1 Alessandro Pisano 2 Thierry Floquet 1 Elio Usai 2
1 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : The problem of designing an observer capable of reconstructing the continuous and discrete states for a class of switched linear systems is addressed. A stack of dynamical observers based on the super twisting algorithm with finite and uniform-in-the-initial-condition convergence is considered, which provides an estimate of the continuous state and, at the same time, produces residual signals suitable for reconstructing the discrete state. An appropriate ‘projection’ of the residuals is suggested, which allows to speed up the reconstruction of the discrete state. Formal ‘distinguishability’ conditions guaranteeing that the discrete state can be uniquely reconstructed are derived. Lyapunov-based proofs of convergence, and numerical simulations, support the proposed approach.
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Diego Mincarelli, Alessandro Pisano, Thierry Floquet, Elio Usai. Uniformly convergent sliding mode‐based observation for switched linear systems. International Journal of Robust and Nonlinear Control, Wiley, 2016, 26 (7), pp.1549-1564. ⟨10.1002/rnc.3366⟩. ⟨hal-01709246⟩

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