Convex handling of nonlinear nominal models can overcome limitations on sliding mode observer design

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS European Journal of Control Pub Date : 2025-02-05 DOI:10.1016/j.ejcon.2025.101192
David Vázquez , Daniel Quintana , Alan Tapia , Víctor Estrada-Manzo , Miguel Bernal
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引用次数: 0

Abstract

This report establishes that overcoming limitations on standard synthesis of sliding mode observers, namely, the rank and size requisites for output/perturbation decoupling and the number of transformations required, depends on avoiding linear nominal systems. This task is achieved by two local diffeomorphisms which transform the system into a flexible nonlinear nominal structure plus disturbances. Based on such decomposition, convex modelling and optimization is employed to design the continuous part of the observer while the discontinuous one is adequately chosen to guarantee sliding over a nonlinear output error surface. Examples, both academic and physical, that cannot be treated by the standard methodology, are presented to illustrate the advantages of the proposal.
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来源期刊
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
期刊最新文献
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