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    Online Policy Iteration-Based Tracking Control of Four Wheeled Omni-Directional Robots 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 008:;page 81017
    Author(s): Sheikhlar, Arash; Fakharian, Ahmad
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, online policy iteration reinforcement learning (RL) algorithm is proposed for motion control of four wheeled omni-directional robots. The algorithm solves the linear quadratic tracking (LQT) problem in an ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian