This chapter presents two algorithms for state estimation of linear time-varying systems affected by unknown inputs. The chapter is divided into two parts. The first part presents an observer for the class of strongly observable linear time-varying systems with unknown inputs. The proposed observer uses a cascade structure to guarantee the correct state reconstruction despite bounded unknown inputs and system instability. The second part of this chapter presents a finite-time observer that exploits the structural properties of the system through a linear operator. The particular design of this observer allows for avoiding the use of a cascade structure, providing with reduced complexity an exact estimate of the states after a finite transient time, even in the presence of possible instability of the system and the effects of bounded unknown inputs.


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    Titel :

    Robust State Estimation for Linear Time-Varying Systems Using High-Order Sliding-Modes Observers


    Weitere Titelangaben:

    Studies in Systems, Decision and Control


    Beteiligte:
    Oliveira, Tiago Roux (Herausgeber:in) / Fridman, Leonid (Herausgeber:in) / Hsu, Liu (Herausgeber:in) / Dávila, Jorge (Autor:in) / Fridman, Leonid (Autor:in) / Levant, Arie (Autor:in)


    Erscheinungsdatum :

    01.11.2023


    Format / Umfang :

    30 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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