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ytinghost3铁杆木虫 (著名写手)
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[求助]
查询ICIEA2016 会议论文检索情况，重谢！
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请帮我查询ICIEA2016 会议论文是否EI检索了，以及相关EI检索信息和EI检索号，重谢！ 查询论文 "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. Full-text and Local Holdings Links |
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