A NEURAL NETWORK MODEL-BASED CONTROL METHOD FOR A CLASS OF DISCRETE-TIME NONLINEAR SYSTEMS, 93-100.

Jerry Sweafford Jr. and Farbod Fahimi

References

  1. [1] S.S. Ge, T.H. Lee, and C.J. Harris, Adaptive Neural NetworkControl of Robotic Manipulators (Singapore: World Scientific,1998).
  2. [2] D. Hanafi, M.F. bin Rahmat, Z.A. bin Ahmad, and A. binMohd Zaid, Intelligent system identification for an axis of carpassive suspension system using real data 6th Int. Symp. onMechatronics and its Applications, 1–7.
  3. [3] H.P.H. Anh and N.T. Nam, Novel adaptive forward neu-ral MIMO NARX model for the identification of industrial3-DOF robot arm kinematics, International Journal of Ad-vanced Robotic Systems, SAGE Publications Sage UK: London,England, 9(104), 2012.
  4. [4] B.M. Akesson and H.T. Toivonen, A neural network modelpredictive controller, Journal of Process Control, 16, 2006,937–946.
  5. [5] L. Cheng, W. Liu, Z. Hou, J. Yu, and M. Tan, Neural-network-based nonlinear model predictive control for piezoelectric ac-tuators, IEEE Transactions on Industrial Electronics, 62(12),2015, 7717–7727.
  6. [6] A. Afram, F. Janabi-Sharifi, A.S. Fung, and K. Raahemifar,Artificial neural network (ANN) based model predictive control(MPC) and optimization of HVAC systems: A state of the artreview and case study of a residential HVAC system, Energyand Buildings, 141, 2017, 96–113.
  7. [7] Q. Wei, R. Song, and P. Yan, Data-driven zero-sum neuro-optimal control for a class of continuous-time unknownnonlinear systems with disturbance using ADP, IEEE Trans-actions on Neural Networks and Learning Systems, 27(2),2015, 444–458.
  8. [8] T. Sun, H. Pei, Y. Pan, H. Zhou, and C. Zhang, Neural network-based sliding mode adaptive control for robot manipulators,Neurocomputing, 74, 2011, 2377–2384.
  9. [9] Y. Yang and Y. Yan, Neural network approximation-basednonsingular terminal sliding mode control for trajectory track-ing of robotic airships Aerospace Science and Technology, 54,2016, 192–197.
  10. [10] J. Schumann, P. Gupta, and Y. Liu, Application of neuralnetworks in high assurance systems: A survey, in J. Schumannand Y. Liu (eds.), Applications of neural networks in highassurance systems (Berlin: Springer, 2010), 1–19.
  11. [11] F. Fahimi and S. Praneeth, A universal trajectory trackingcontroller for mobile robots via model-free online reinforcementlearning, Control and Intelligent Systems, 43(1), 2015.
  12. [12] J. Sweafford and F. Fahimi, Model-free online reinforcementlearning of a robotic manipulator, Mechatronic Systems andControl, 47(3), 2019.
  13. [13] G.P. Liu, V. Kadirkamanathan, and S.A. Billings, Variablestructure control for nonlinear discrete systems using neu-ral networks, 1997 European Control Conf. (ECC), Brussels,Belgium, 1–4 July 1997, 423–428.
  14. [14] Z. Wang, R. Lu, F. Gao, and D. Liu, An indirect data-drivenmethod for trajectory tracking control of a class of nonlin-ear discrete-time systems, IEEE Transactions on IndustrialElectronics, 64(5), 2017, 4121–4129.
  15. [15] Y. Duan, S. Ikemoto, and K. Hosoda, Optimal feedback con-trol based on analytical linear models extracted from neu-ral networks trained for nonlinear systems, 2018 IEEE/RSJInt. Conf. on Intelligent Robots and Systems (IROS), 2018,8689–8694.
  16. [16] A. Savitzky and M. Golay, Smoothing and differentiationof data by simplified least squares procedures, Analyticalchemistry, 36(8), 1964, 1627–1639.
  17. [17] J.A. Nelder and R. Mead, A simplex method for functionminimization, Computer Journal, 7, 1965, 308–313.
  18. [18] J. Lagarias, J.A. Reeds, M.H. Wright, and P.E. Wright,Convergence properties of the Nelder-Mead simplex methodin low dimensions, SIAM Journal of Optimization, 9(1), 1998,112–147.
  19. [19] Y. Huang, T. Kuo, and S. Chang, Adaptive sliding-modecontrol for nonlinear systems with uncertain parameters, IEEETransactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 38(2), 2008, 534–539.
  20. [20] S. Sarpturk, Y. Istefanopulos, and O. Kaynak, On the sta-bility of discrete-time sliding mode control systems, IEEETransactions on Automatic Control, 32(10), 1987, 930–932.
  21. [21] ROBOTIS e-Manual v.1.25.00: AX-12/AX-12+/AX-12A,2015, http://support.robotis.com/en/product/dynamixel/ax_series/dxl_ax_actuator.htm.
  22. [22] C. Wenyi, G. Cunchen, and Z. Lin, Chattering-free sliding modecontrol for linear uncertain systems with multiple time-delays,Second Pacific-Asia Conf. on Circuits, Communications andSystem (PACCS), 2010, 39–42.

Important Links:

Go Back