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Distributed Tracking Control of Uncertain Multiple Manipulators Under Switching Topologies Using Neural Networks
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  • 关键词:Leader ; following problem ; Manipulator ; Uncertainty ; Neural networks ; Switching topologies
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2016
  • 出版时间:2016
  • 年:2016
  • 卷:9719
  • 期:1
  • 页码:233-241
  • 全文大小:267 KB
  • 参考文献:1.Cheng, L., Hou, Z.-G., Tan, M., Liu, D., Zou, A.: Multi-agent based adaptive consensus control for multiple manipulators with kinematic uncertainties. In: 2008 IEEE Internationial Symposium on Intelligent Control, pp. 189–194. San Antonio (2008)
    2.Cheng, L., Hou, Z.-G., Tan, M.: Decentralized Adaptive Consensus Control for Multi-Manipulator System with Uncertain Dynamics. In: 2008 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2712–2717. Singapore (2008)
    3.Ren, W.: Distributed leaderless consensus algorithms for networked euler-lagrange systems. int. j. control. 82, 2137–2149 (2009)MathSciNet CrossRef MATH
    4.Hou, Z.-G., Cheng, L., Tan, M.: Decentralized robust adaptive control for the multiagent system consensus problem using neural networks. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39, 636–647 (2009)CrossRef
    5.Liu, Y., Min, H., Wang, S., Liu, Z., Liao, S.: Distributed adaptive consensus for multiple mechanical systems with switching topologies and time-varying delay. Syst. Control Lett. 64, 119–126 (2014)MathSciNet CrossRef MATH
    6.Wang, H., Cheng, L.: Second-order consensus of networked mechanical systems with communication delays. In: The 11th World Congress on Intelligent Control and Automation, pp. 2126–2131. Shenyang (2014)
    7.Mehrabian, A., Khorasani, K., Tafazoli, S.: Reconfigurable synchronization control of networked euler-lagrange systems with switching communication topologies. asian j. control. 16, 830–844 (2014)MathSciNet CrossRef MATH
    8.Zhao, X., Ma, C., Xing, X., Zheng, X.: A stochastic sampling consensus protocol of networked euler-lagrange systems with application to two-link manipulator. IEEE Trans. Ind. Inf. 11, 907–914 (2015)CrossRef
    9.Liu, Y.-C.: Distributed synchronization for heterogeneous robots with uncertain kinematics and dyanmics under switching topologies. J. Franklin Inst. 352, 3808–3826 (2015)MathSciNet CrossRef
    10.Cheng, L., Hou, Z.-G., Tan, M.: Decentralized adaptive leader-follower control of multi-manipulator system with uncertain dynamics. In: The 34th Annual Conference of the IEEE Industrial Electronics Society, pp. 1608–1613. Orlando (2008)
    11.Hou, Z.-G., Cheng, L., Tan, M., Wang, X.: Distributed adaptive coordinated control of multi-manipulator systems using neural networks. In: Liu, H., Gu, D., Howlett, R., Liu, Y. (eds.) Robot Intelligence: An Advanced Knowledge Processing Approach, pp. 49–69. Springer-Verlag, London (2010)CrossRef
    12.Cheng, L., Hou, Z.-G., Tan, M., Lin, Y., Zhang, W.J.: Neural-network-based adaptive leader-following control for multi-agent systems with uncertainties. IEEE Trans. Neural Netw. 21, 1351–1358 (2010)CrossRef
    13.Cai, H., Huang, J.: Leader-following consensus of multiple uncertain euler-lagrange systems under switching network topology. Int. J. Gen. Syst. 43, 294–304 (2014)MathSciNet CrossRef MATH
    14.Wang, Y., Cheng, L., Hou, Z.-G., Tan, M., Bian, G.: Polynomial trajectory tracking of networked Euler-Lagrange Systems. In: The 33rd Chinese Control Conference, pp. 1568–1573. Nanjing (2014)
    15.Cheng, L., Wang, Y., Ren, W., Hou, Z.-G., Tan, M.: Containment Control of Multi-Agent Systems with Dynamic Leaders based on a \(PI^n\) -type Approach. IEEE Trans. Cybern (2016). doi:10.​1109/​TCYB.​2015.​2494738
    16.Mei, J., Ren, W., Li, B., Ma, G.: Distributed containment control for multiple unknown second-order nonlinear systems with application to networked lagrangian systems. IEEE Trans. Neural Netw. Learn. Syst. 26, 1885–1899 (2015)MathSciNet CrossRef
    17.Yang, Z., Shibuya, Y., Qin, P.: Distributed robust control for synchronised tracking of networked euler-lagrange systems. Int. J. Syst. Sci. 46, 720–732 (2015)MathSciNet CrossRef MATH
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  • 作者单位:Long Cheng (16)
    Ming Cheng (17)
    Hongnian Yu (18)
    Lu Deng (19)
    Zeng-Guang Hou (16)

    16. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
    17. Department of Petroleum Engineering, Harbin Institute of Petroleum, Harbin, 150028, China
    18. Department of Computing, Bournemouth University, Poole, BH12 5BB, UK
    19. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, 100081, China
  • 丛书名:Advances in Neural Networks ¨C ISNN 2016
  • ISBN:978-3-319-40663-3
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
  • 卷排序:9719
文摘
The distributed tracking control of a group of manipulators under switching directed topologies is studied. Each manipulator is modeled by the Euler-Lagrange dynamics which includes uncertainties and external disturbances. The proposed controller has the neural network approximation unit for compensating uncertainties and the robust term for counteracting external disturbances. It can be proved that when the communication topology switches among a set of graphes which have a spanning tree and have no loop structure, the final tracking error can be reduced as small as possible.

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