State Estimation of LPV Discrete-Time Systems with Application to Output Feedback Stabilization
Karimi, H. R.
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Estimation, Modeling and ANalysis Group
Permanent link to this recordhttp://hdl.handle.net/10754/662166
MetadataShow full item record
AbstractThis 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.
CitationChaib-Draa, K., Zemouche, A., Rajamani, R., Wang, Y., Bedouhene, F., Karimi, H. R., & Laleg-Kirati, T. M. (2019). State Estimation of LPV Discrete-Time Systems with Application to Output Feedback Stabilization. 2019 IEEE 58th Conference on Decision and Control (CDC). doi:10.1109/cdc40024.2019.9030188
Conference/Event name2019 IEEE 58th Conference on Decision and Control (CDC)