State Estimation of LPV Discrete-Time Systems with Application to Output Feedback Stabilization

K. Chaib-Draa, A. Zemouche, R. Rajamani, Y. Wang, F. Bedouhene, H. R. Karimi, Taous-Meriem Laleg-Kirati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish (US)
Title of host publication2019 IEEE 58th Conference on Decision and Control (CDC)
PublisherIEEE
Pages3788-3792
Number of pages5
ISBN (Print)9781728113982
DOIs
StatePublished - 2019

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