基于扰动观测器的不确定 HOFA 网络物理系统预测跟踪控制

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-06-12 DOI:10.1109/JAS.2023.124080
Da-Wei Zhang;Guo-Ping Liu
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引用次数: 0

摘要

亲爱的编辑,在这封信中,我们从高阶全致动(HOFA)系统理论的角度考虑了不确定网络物理系统(CPSs)的输出跟踪控制问题,其中使用了叠加扰动来表示包含参数扰动和外部扰动的总不确定性。采用基于扰动观测器的 HOFA 预测控制(DOB-HOFAPC)来实现理想的跟踪控制性能,并补偿前向和后向信道的通信延迟。进一步的讨论给出了分析闭环 CPS 跟踪性能和稳定性的标准。以长距离输电线路为例,验证了所提出的 DOB-HOFAPC 的可行性。
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Disturbance Observer-Based Predictive Tracking Control of Uncertain HOFA Cyber-Physical Systems
Dear Editor, In this letter, an output tracking control problem of uncertain cyber-physical systems (CPSs) is considered in the perspective of high-order fully actuated (HOFA) system theory, where a lumped disturbance is used to denote the total uncertainties containing parameters perturbations and external disturbances. A disturbance observer-based HOFA predictive control (DOB-HOFAPC) is adopted to achieve the desired tracking control performance and compensate for the communication delays in the forward and backward channels. The further discussion gives a criterion to analyze the tracking performance and stability of closed-loop CPSs. An example of long distance power transmission line is shown to verify the feasibility of the proposed DOB-HOFAPC.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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