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Communication Dans Un Congrès Année : 2019

State estimation of LPV discrete-time systems with application to output feedback stabilization

Résumé

This paper deals with new finite-time estimation algorithms for Linear Parameter Varying (LPV) discrete-time systems and their application to output feedback stabilization. Two exact finite-time estimation schemes are proposed. The first one provides a direct and explicit estimation algorithm based on the use of delayed outputs, while the second one uses two combined asymptotic observers, connected by a condition of invertibility of a certain time-varying matrix, to recover in a finite-time the solution of the LPV system. Furthermore, a stabilization strategy is proposed as an extension. This strategy, called Two Connected Observers Feedback (2-COF) stabilization method, is based on the use of the two combined observers based estimation algorithm.
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Dates et versions

hal-02342423 , version 1 (31-10-2019)

Identifiants

  • HAL Id : hal-02342423 , version 1

Citer

Khadidja Chaib Draa, Ali Zemouche, Rajesh Rajamani, Yan Wang, Fazia Bedouhene, et al.. State estimation of LPV discrete-time systems with application to output feedback stabilization. 58th IEEE Conference on Decision and Control, CDC 2019, Dec 2019, Nice, France. ⟨hal-02342423⟩
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