用于具有超出观测范围的不确定性的集值鲁尔系统的滑模观测器

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Communications in Nonlinear Science and Numerical Simulation Pub Date : 2024-08-30 DOI:10.1016/j.cnsns.2024.108325
Samir Adly , Jun Huang , Ba Khiet Le
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引用次数: 0

摘要

在本文中,我们为 Lur'e 集值动态系统引入了一种新的滑模观测器,特别是解决了不在标准观测范围内的不确定性所带来的挑战。传统上,大多数类伦伯格观测器和滑模观测器只针对观测范围内的不确定性而设计。我们方法的核心是处理不确定性项,并将其分解为两个部分:第一部分在观测子空间中,第二部分在其互补子空间中。我们确定,当第二部分收敛为零时,就能得到系统的精确滑模观测器。 在不发生收敛的情况下,我们的方法允许对实际状态和观测器状态之间的误差进行估计。这就产生了一种实用的区间估计技术,在部分不确定性位于可观测范围之外的情况下非常有价值。最后,我们证明了我们的观测器也是一个 T-观测器和一个强 H∞ 观测器。
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Sliding mode observers for set-valued Lur’e systems with uncertainties beyond observational range

In this paper, we introduce a new sliding mode observer for Lur’e set-valued dynamical systems, particularly addressing challenges posed by uncertainties not within the standard range of observation. Traditionally, most ofLuenberger-like observers and sliding mode observer have been designed only for uncertainties in the range of observation. Central to our approach is the treatment of the uncertainty term which we decompose into two components: the first part in the observation subspace and the second part in its complemented subspace. We establish that when the second part converges to zero, an exact sliding mode observer for the system can be obtained In scenarios where this convergence does not occur, our methodology allows for the estimation of errors between the actual state and the observer state. This leads to a practical interval estimation technique, valuable in situations where part of the uncertainty lies outside the observable range. Finally, we show that our observer is also a T-observer as well as a strong H observer.

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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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