基于模糊逆模型的时变信号网络化跟踪控制框架

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Shiwen Tong;Dianwei Qian;Keya Yuan;Dexin Liu;Yuan Li;Jiancheng Zhang
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引用次数: 0

摘要

亲爱的编辑,网络环境中的跟踪控制是一个极具挑战性的问题,因为它既要对时变信号做出快速响应,又要考虑网络带来的不可避免的延迟。这封信提出了几种基于模糊逆模型的网络跟踪控制框架,有助于处理具有非线性动态和不确定性的系统。这些控制框架采用了不同的策略,如反馈校正、内部模型结构和自适应技术。仿真证明了这些策略的有效性。此外,两种或两种以上技术的结合可以大大提高控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy-Inverse-Model-Based Networked Tracking Control Frameworks of Time-Varying Signals
Dear Editor, Tracking control in networked environment is a very challenging problem due to the contradiction of rapid response to the time-varying signal and the inevitable delay introduced by networks. This letter has proposed several fuzzy-inverse-model-based network tracking control frameworks which are helpful in handling the system with nonlinear dynamics and uncertainties. The control frameworks have adopted different strategies such as feedback correction, internal model structure and adaptive technology. Simulations have proved the validity of the strategies. Moreover, the combination of two or more technologies can greatly improve the control performance.
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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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