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Circuits Systems and Signal Processing
Article . 2024 . Peer-reviewed
License: CC BY
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Article . 2024
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Observer Design for Nonlinear Descriptor Systems: A Survey on System Nonlinearities

Observer design for nonlinear descriptor systems: a survey on system nonlinearities
Authors: Meenakshi Tripathi; Lazaros Moysis; Mahendra Kumar Gupta; George F. Fragulis; Christos Volos;

Observer Design for Nonlinear Descriptor Systems: A Survey on System Nonlinearities

Abstract

AbstractIn general, the construction of observers for nonlinear descriptor systems depends on the solvability of a linear matrix inequality involving system matrices, and it is based on the system’s nonlinearity. Therefore, the type of nonlinearity present in the system heavily affects the observer design process. There are significant developments in the literature for observer design for descriptor systems with various types of nonlinearity. Motivated by this, the current work reviews the literature on observer design for nonlinear descriptor systems with an extensive discussion on the type of nonlinearities that are considered. Here, an analysis and the comparison on the most common nonlinearities is presented, providing a roadmap to all researchers in the field. Furthermore, less common nonlinearities have been identified, presenting under-explored areas within the literature, and can open new domains for future research.

Keywords

observer, nonlinear system, Design techniques (robust design, computer-aided design, etc.), quadratic constraints, signal estimation, singular system, chaos synchronization, differential algebraic equations, Nonlinear systems in control theory, Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems), descriptor system, Lipschitz, Observers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%