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Volume 9 Issue 1
Jan.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(1): 173-186
B. Niu, J. D. Liu, D. Wang, X. D. Zhao, and H. Q. Wang, “Adaptive decentralized asymptotic tracking control for large-scale nonlinear systems with unknown strong interconnections,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 173–186, Jan. 2022. doi: 10.1109/JAS.2021.1004246
Citation: B. Niu, J. D. Liu, D. Wang, X. D. Zhao, and H. Q. Wang, “Adaptive decentralized asymptotic tracking control for large-scale nonlinear systems with unknown strong interconnections,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 173–186, Jan. 2022. doi: 10.1109/JAS.2021.1004246
shu

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

doi: 10.1109/JAS.2021.1004246
  • 1.

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

  • 2.

    School of Artificial Intelligence, Nankai University, Tianjin 300071, China

  • 3.

    Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

  • 4.

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

  • 5.

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

  • 6.

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

Funds:  This work was supported in part by the National Natural Science Foundation of China (61873151, 62073201); and in part by the Shandong Provincial Natural Science Foundation of China (ZR2019MF009); and the Taishan Scholar Project of Shandong Province of China (tsqn201909078); and the Major Scientific and Technological Innovation Project of Shandong Province, China (2019JAZZ020812); and in part by the Major Program of Shandong Province Natural Science Foundation, China (ZR2018ZB0419)
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    Abstract
  • 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 interconnections, 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.

     

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    Highlights

    • Compared with a large number of existing works ([2], [7], [8], [12]–[24], [30], [32], [36], [37]) in which interconnected terms need either to satisfy matching conditions or to be bounded by known or partially known functions, the decentralized control scheme proposed in this paper removes all the two widely adopted traditional conditions of the interconnected terms by using the inherent properties of Gaussian function and thereby deals with completely unknown strong interconnections successfully
    • Differently from the results in [18], [27]–[42], which only realize bounded tracking control, the asymptotic tracking control is realized in this paper even though the uncertain parameters, large-scale system structure and unknown strong interconnections are considered
    • By applying the DSC technology, the inherent “explosion of complexity” problem in backstepping is eliminated

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