The research focuses on the data-driven optimal time-varying formation-containment control problem for a group of heterogeneous spacecrafts that are simultaneously subjected to switching topologies, nonlinear relative motion dynamics, and parameter variations. A distributed observer is developed for each spacecraft to generate the position references and to decrease the influences of switching topologies. The optimal formation-containment control protocol is learned using relative motion data and system inputs, based on the reinforcement learning theory. Simulations of a spacecraft group are given to show the performance of the proposed formation-containment control protocol.


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    Title :

    Data-Driven Optimal Formation-Containment Control for a Group of Spacecrafts Subject to Switching Topologies


    Contributors:
    Cheng, Ming (author) / Liu, Hao (author) / Wan, Yan (author) / Valavanis, Kimon P. (author) / Lewis, Frank L. (author)


    Publication date :

    2023-10-01


    Size :

    1957299 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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