具有区间不确定性的延迟开关系统的集合成员状态估计:区位方法

IF 3.9 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Zhizhen Zhou, Dongyan Chen, Jun Hu, Ning Yang
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引用次数: 0

摘要

摘要 考虑到时间延迟和时间间隔不确定性的存在,研究了一个基于区角的离散时间开关系统的集合成员状态估计问题,该系统受未知但有界的噪声影响。为了符合实际情况,设计了一个与子系统异步的状态观测器。在观测器设计中引入了性能以减弱噪声的影响。通过处理区间不确定性,给出了观测器的设计方法,并将其转化为可离线求解的凸优化问题。基于观测器,提供了包含状态的区角和估计区间。最后,给出了一个数值示例来验证所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Set-membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach

Considering the existence of time delay and interval uncertainty, a set-membership state estimation problem based on zonotopes is studied for discrete-time switched systems subject to unknown but bounded noises. To conform the actual situation, a state observer asynchronous with the subsystem is designed. The L $$ {L}_{\infty } $$ performance is introduced to attenuate the effect of noises in the observer design. By dealing with the interval uncertainty, the design approach of L $$ {L}_{\infty } $$ observer is given and transformed into a convex optimization problem which can be solved off-line. The zonotope and the estimation interval containing state are provided based on the L $$ {L}_{\infty } $$ observer. Finally, a numerical example is given to verify the effectiveness of the proposed algorithm.

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来源期刊
CiteScore
5.30
自引率
16.10%
发文量
163
审稿时长
5 months
期刊介绍: The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material. Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include: Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers Nonlinear, Robust and Intelligent Adaptive Controllers Linear and Nonlinear Multivariable System Identification and Estimation Identification of Linear Parameter Varying, Distributed and Hybrid Systems Multiple Model Adaptive Control Adaptive Signal processing Theory and Algorithms Adaptation in Multi-Agent Systems Condition Monitoring Systems Fault Detection and Isolation Methods Fault Detection and Isolation Methods Fault-Tolerant Control (system supervision and diagnosis) Learning Systems and Adaptive Modelling Real Time Algorithms for Adaptive Signal Processing and Control Adaptive Signal Processing and Control Applications Adaptive Cloud Architectures and Networking Adaptive Mechanisms for Internet of Things Adaptive Sliding Mode Control.
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