一类不确定离散时间非线性系统的集值状态估计器

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Nacim Meslem , Youdao Ma , Zhenhua Wang , Tarek Raïssi
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引用次数: 0

摘要

本研究解决了某类离散时间非线性系统的集合成员状态估计问题。首先,该问题被表述为可达性分析问题。然后,为了避免包络效应,利用该类系统一般解的显式表达来设计新的集值状态估计方案。此外,出于实际考虑,还介绍了两种基于区间分析和带状计算的周期性重初始化算法。通过一个数值示例说明了所提方法的优点,并将其性能与从文献中借鉴的其他方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Set-valued state estimators for a class of uncertain discrete-time nonlinear systems

Set-membership state estimation problem for a certain class of discrete-time nonlinear systems is tackled in this work. First, this problem is formulated as a reachability analysis problem. Then, to avoid the wrapping effect, explicit expression of the general solution of this class of systems is used to design new set-valued state estimation schemes. Moreover, for practical considerations, two periodically re-initialized algorithms based on both interval analysis and zonotope computation are introduced. The merit of the proposed approach is illustrated on a numerical example and its performance is compared to that of other methods borrowed from the literature.

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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.
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