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Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections

         

摘要

An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections,unknown time-varying parameters,and disturbances.First,by employing the intrinsic properties of Gaussian functions for the interconnection terms for the first time,all extra signals in the framework of decentralized control are filtered out,thereby removing all additional assumptions imposed on the interconnec-tions,such as upper bounding functions and matching conditions.Second,by introducing two integral bounded functions,asymptotic tracking control is realized.Moreover,the nonlinear filters with the compensation terms are introduced to circumvent the issue of“explosion of complexity”.It is shown that all the closed-loop signals are bounded and the tracking errors converge to zero asymptotically.In the end,a simulation example is carried out to demonstrate the effectiveness of the proposed approach.

著录项

  • 来源
    《自动化学报(英文版)》 |2022年第1期|173-186|共14页
  • 作者单位

    College of Information Science and Engineering Shandong Normal University Jinan 250014 China;

    School of Artificial Intelligence Nankai University Tianjin 300071 China;

    Faculty of Information Technology Beijing University of Technology Beijing 100124;

    State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China;

    School of Control Science and Engineering Dalian University of Technology Dalian 116023 China;

    Department of Mathematical Science and Automatization Institute Bohai University Jinzhou 121000 China;

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  • 正文语种 eng
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