TRAJECTORY TRACKING CONTROL FOR FLEXIBLE-JOINT MANIPULATOR WITH TIME-VARYING UNCERTAINTIES USING BACKSTEPPING AND CHEBYSHEV NEURAL NETWORK, 1-6. SI

Pengxiao Jia and Wanli Qiu

References

  1. [1] H.K. Zhang, A new hybird whale particle swarm optimisationalgorithm for robot trajectory planning and tracking control,Mechatronic Systems and Control, 52, 2024, 48–57.
  2. [2] P.X. Jia, Control of flexible joint robot based on motor statefeedback and dynamic surface approach, Journal of ControlScience and Engineering, 2019, 2019, 5431636.5
  3. [3] H. Wang, Y. Zhang, Z. Zhao, X. Tang, J. Yang, and I.-M. Chen, Finite-time disturbance observer-based trajectorytracking control for flexible-joint robots, Nonlinear Dynamics,106(1), 2021, 459–471.
  4. [4] Y. Pan, X. Li, and H. Yu, Efficient PID tracking control ofrobotic manipulators driven by compliant actuators, IEEETransactions on Control Systems Technology, 27(2), 2018,915–922.
  5. [5] C.Y. Yang, Y.M. Xu, and W. Dai, Two-time-scale compositecontrol of flexible manipulators, Control Theory & Applications,36(4), 2019, 158–164.
  6. [6] S. Ling, H. Wang, and P. Liu, Adaptive fuzzy trackingcontrol of flexible-joint robots based on command filtering,IEEE Transactions on Industrial Electronics, 67(5), 2019,4046–4055.
  7. [7] F. Petit, A. Daasch, and A. Albu-Sch¨affer, Backstepping controlof variable stiffness robots, IEEE Transactions on ControlSystems Technology, 23(6), 2015, 2195–2202.
  8. [8] Z. Wang, Prediction and analysis of robotic arm trajectorybased on adaptive control, Mechatronic Systems and Control,51, 2023, 1–9.
  9. [9] W. Sun, S. Su, J. Xia, and V. Nguyen, Adaptive fuzzy trackingcontrol of flexible-joint robots with full-state constraints, IEEETransactions on Systems, Man, and Cybernetics: Systems,49(11), 2018, 2201–2209.
  10. [10] Q. Zhang and G. Liu, Precise control of elastic joint robot usingan interconnection and damping assignment passivity-basedapproach, IEEE/ASME Transactions on Mechatronics, 21(6),2016, 2728–2736.
  11. [11] Y.N. Yang, T. Dai, C. Hua, and J. Li, Composite NNs learningfull-state tracking control for robotic manipulator with jointsflexibility, Neurocomputing, 409, 2020, 296–305.
  12. [12] J. Han, Y. H. Chen, X. Zhao, and F. Dong, Optimal design forrobust control of uncertain flexible joint manipulators: a fuzzydynamical system approach, International Journal of Control,91(4), 2018, 937–951.
  13. [13] T. Madan and A. Benallegue, Backstepping control fora quadrotor helicopter, Proc. IEEE/RSJ InternationalConf. on Intelligent Robots and Systems, Beijing, 2006,3255–3260.
  14. [14] Z. Miao and Y. Wang, Robust dynamic surface controlof flexible joint robots using recurrent neural networks,Journal of Control Theory and Applications, 11, 2013,222–229.
  15. [15] S. Dian, Y. Hu, T. Zhao, and J. Han. Adaptive backsteppingcontrol for flexible-joint manipulator using interval type-2 fuzzyneural network approximator, Nonlinear Dynamics, 97, 2019,1567–1580.
  16. [16] P. Jia, Design of a novel NNs learning tracking controller forrobotic manipulator with joints flexibility, Journal of Robotics,2023, 2023, 1186719.
  17. [17] S. Purwar, I.N. Kar, and A.N. Jha, Adaptive outputfeedback tracking control of robot manipulators using positionmeasurements only, Expert Systems with Applications, 34(4),2008, 2789–2798.
  18. [18] J.C. Patra and A.C. Kot, Nonlinear dynamic system identifica-tion using Chebyshev functional link artificial neural networks,IEEE Transactions on Systems, Man, and Cybernetics, PartB: Cybernetics, 32(4), 2002, 505–511.
  19. [19] A.C. Huang and Y.C. Chen, Adaptive sliding control for single-link flexible-joint robot with mismatched uncertainties, IEEETransactions on Control Systems Technology, 12(5), 2004,770–775.
  20. [20] A.M. Zou, K.D. Kumar, Z.G. Hou, and X. Liu, Finite-timeattitude tracking control for spacecraft using terminal slidingmode and Chebyshev neural network, IEEE Transactions onSystems, Man, and Cybernetics, Part B (Cybernetics), 41(4),2011, 950–963.
  21. [21] J. Liu, Robot control system design and MATLAB simulationthe advanced design method (Beijing: Tsinghua UniversityPress, 2018).

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