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[求助] 查询ICIEA2016 会议论文检索情况,重谢!

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"Adaptive robust control of the mobile manipulator based on neural network," 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), Hefei, 2016, pp. 2425-2430.
doi: 10.1109/ICIEA.2016.7603999

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Accession number:       
20164803076365
        Title:        Adaptive robust control of the mobile manipulator based on neural network
        Authors:        Chen, Naijian1 Email author chnjian@126.com; Yang, Hao1; Han, Xiangdong1; Ai, Changsheng1; Tang, Chenglong2; Li, Xiangkui2
        Author affiliation:        1 School of Mechnical Engineering, University of Jinan, 250022, China
                2 Shandong Shuaike Machinery Manufacturing Limited Co., Weifang; 261000, China
        Corresponding author:        Chen, Naijian (chnjian@126.com)
        Source title:        Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
        Abbreviated source title:        Proc. IEEE Conf. Ind. Electron. Appl., ICIEA
        Monograph title:        Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
        Issue date:        October 19, 2016
        Publication year:        2016
        Pages:        2425-2430
        Article number:        7603999
        Language:        English
        ISBN-13:        9781509026050
        Document type:        Conference article (CA)
        Conference name:        11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
        Conference date:        June 5, 2016 - June 7, 2016
        Conference location:        Hefei, China
        Conference code:        124490
        Publisher:        Institute of Electrical and Electronics Engineers Inc.
        Abstract:        This article describes an adaptive robust control algorithm of the mobile manipulator based on robust neural network to solve disturbances, nonlinearity, nonholonomic constraints between the mobile platform and the mounted manipulator. According to the nonlinear mapping ability of neural network and fast learning ability, neural network and robust control strategies are integrated into the adaptive control algorithm for the mobile manipulator with nonlinear and nonholonomic constraints. Basis on the mobile manipulator dynamics model and its modeling analysis, the controller can drive the trajectory tracking error of the mobile manipulator to converge to zero. The simulation results show that the algorithm has higher precision of trajectory tracking control and can achieve good control effect. © 2016 IEEE.
        Number of references:        33
        Main heading:        Adaptive control systems
        Controlled terms:        Industrial electronics - Manipulators - Robust control
        Uncontrolled terms:        Adaptive control algorithms - Adaptive robust control - Control strategies - Mobile manipulator - Non holonomic constraint - Nonlinear mappings - Trajectory tracking control - Trajectory tracking errors
        Classification code:        731Automatic Control Principles and Applications - 731.1Control Systems
        DOI:        10.1109/ICIEA.2016.7603999
        Database:        Compendex
                Compilation and indexing terms, © 2016 Elsevier Inc.
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