@inbook{a2fea800cfe547ce9f2f303ff3dd6bcc,
title = "Robust State Estimation for Linear Time-Varying Systems Using High-Order Sliding-Modes Observers",
abstract = "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.",
author = "Jorge D{\'a}vila and Leonid Fridman and Arie Levant",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.",
year = "2023",
doi = "10.1007/978-3-031-37089-2_6",
language = "الإنجليزيّة",
series = "Studies in Systems, Decision and Control",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "133--162",
booktitle = "Studies in Systems, Decision and Control",
address = "ألمانيا",
}