基于中间变量的网络系统动态事件触发故障预估与调适

IF 2.7 4区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yuezhou Zhao, Tieshan Li, Yue Long, Weiwei Bai
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引用次数: 0

摘要

本文考虑了具有外部扰动的网络系统的鲁棒故障估计和容错控制问题。通过引入包含系统状态信息和故障信息的中间变量,提出了精确估计故障和系统状态的观测器。通过求解一个凸优化问题,同时计算了故障估计观测器、容错控制器和动态事件触发机制(ETM)的增益矩阵。与现有结果相比,所提出的故障估计策略不符合观测器匹配条件。此外,引入动态 ETM 可以有效减轻带宽资源有限的网络负担。最后,两个仿真实例展示了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic event-triggered fault estimation and accommodation for networked systems based on intermediate variable

In this paper, the problem of robust fault estimation and fault-tolerant control is considered for networked systems with external disturbances. By introducing an intermediate variable containing the system state information and fault information, the observer to accurately estimate the fault and system state is proposed. The gain matrices of fault estimation observer, fault-tolerant controller and dynamic event-triggered mechanism(ETM) are calculated simultaneously by solving a convex optimization problem. Compared with the existing results, the proposed fault estimation strategy does not match observer matching conditions. Furthermore, the introduction of dynamic ETM can effectively reduce the burden of the network with limited bandwidth resources. Finally, two simulation examples show the effectiveness of the proposed method.

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来源期刊
Asian Journal of Control
Asian Journal of Control 工程技术-自动化与控制系统
CiteScore
4.80
自引率
25.00%
发文量
253
审稿时长
7.2 months
期刊介绍: The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application. Published six times a year, the Journal aims to be a key platform for control communities throughout the world. The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive. Topics include: The theory and design of control systems and components, encompassing: Robust and distributed control using geometric, optimal, stochastic and nonlinear methods Game theory and state estimation Adaptive control, including neural networks, learning, parameter estimation and system fault detection Artificial intelligence, fuzzy and expert systems Hierarchical and man-machine systems All parts of systems engineering which consider the reliability of components and systems Emerging application areas, such as: Robotics Mechatronics Computers for computer-aided design, manufacturing, and control of various industrial processes Space vehicles and aircraft, ships, and traffic Biomedical systems National economies Power systems Agriculture Natural resources.
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