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access icon free Adaptive output feedback control for a class of large-scale output-constrained non-linear time-delay systems

This study is concerned with the adaptive stabilisation problem for a class of large-scale output-constrained non-linear time-delay systems in strict-feedback form. The investigative system satisfies a more general growth condition and the precise knowledge of the time delay is not required to be known a priori. Firstly, an observer is designed by the dynamic gain control design technique. Then, based on a novel Lyapunov–Krasovskii functional, the output constraints are satisfied and the stability of the closed-loop control system is achieved. Finally, a numerical example is given to demonstrate the effectiveness of the proposed design procedure.

References

    1. 1)
      • 3. Hatanaka, T., Takaba, K.: ‘Computations of probabilistic output admissible set for uncertain constrained systems’, Automatica, 2008, 44, (2), pp. 479487.
    2. 2)
      • 12. Mehraeen, S., Jagannathan, S., Crow, M.L.: ‘Decentralized dynamic surface control of large-scale interconnected systems in strict-feedback form using neural networks with asymptotic stabilization’, IEEE Trans. Neural Netw., 2011, 22, (11), pp. 17091722.
    3. 3)
      • 1. Bolognani, S., Peretti, L., Zigliotto, M.: ‘Design and implementation of model predictive control for electrical motor drives’, IEEE Trans. Ind. Electron., 2009, 56, (6), pp. 19251936.
    4. 4)
      • 5. Garone, E., Cairano, S.D., Kolmanovsky, I.: ‘Reference and command governors for systems with constraints: a survey on theory and applications’, Automatica, 2017, 75, pp. 306328.
    5. 5)
      • 23. Ibrir, S.: ‘Observer-based control of a class of time-delay nonlinear systems having triangular structure’, Automatica, 2011, 47, (2), pp. 388394.
    6. 6)
      • 13. Liu, T., Jiang, Z.P., Hill, D.J.: ‘Decentralized output-feedback control of large-scale nonlinear systems with sensor noise’, Automatica, 2012, 48, (10), pp. 25602568.
    7. 7)
      • 24. Lin, W., Qian, C.: ‘Adaptive control of nonlinearly parameterized systems: the smooth feedback case’, IEEE Trans. Autom. Control, 2002, 47, (8), pp. 12491266.
    8. 8)
      • 2. Tee, K.P., Ge, S.S., Tay, F.E.H.: ‘Adaptive control of electrostatic microactuators with bidirectional drive’, IEEE Trans. Control Syst. Technol., 2009, 17, (2), pp. 340352.
    9. 9)
      • 9. Guo, T., Wang, X., Li, S.: ‘Stabilisation for a class of high-order nonlinear systems with output constraints’, IET Control Theory Appl., 2016, 10, (16), pp. 21282135.
    10. 10)
      • 8. Tee, K.P., Ge, S.S., Tay, E.H.: ‘Barrier Lyapunov functions for the control of output-constrained nonlinear systems’, Automatica, 2009, 45, (4), pp. 918927.
    11. 11)
      • 22. Praly, L., Jiang, Z.P.: ‘Linear output feedback with dynamic high gain for nonlinear systems’, Syst. Control Lett., 2004, 53, (2), pp. 107116.
    12. 12)
      • 10. Liu, Y., Tong, S.: ‘Barrier Lyapunov function based adaptive control for a class of nonlinear pure-feedback systems with full state constraints’, Automatica, 2016, 64, (2), pp. 7075.
    13. 13)
      • 18. Wu, L., Gao, Y., Liu, J., et al.: ‘Event-triggered sliding mode control of stochastic systems via output feedback’, Automatica, 2017, 82, pp. 7992.
    14. 14)
      • 15. Zhang, X., Liu, L., Feng, G., et al.: ‘Output feedback control of large-scale nonlinear time-delay systems in lower triangular form’, Automatica, 2013, 49, (11), pp. 34763483.
    15. 15)
      • 7. Gilbert, E., Kolmanovsky, I.: ‘Nonlinear tracking control in the presence of state and control constraints: a generalized reference governor’, Automatica, 2002, 38, (12), pp. 20632073.
    16. 16)
      • 21. Tong, S., Li, Y., Zhang, H.: ‘Adaptive neural network decentralized backstepping output-feedback control for nonlinear large-scale systems with time delays’, IEEE Trans. Neural Netw., 2011, 22, (7), pp. 10731086.
    17. 17)
      • 20. Vazquez, S., Rodriguez, J., Rivera, M., et al.: ‘Model predictive control for power converters and drives: advances and trends’, IEEE Trans. Ind. Electron., 2017, 62, (2), pp. 935947.
    18. 18)
      • 16. Zhang, X., Lin, Y.: ‘Adaptive output feedback control for a class of large-scale nonlinear time-delay systems’, Automatica, 2015, 52, pp. 8794.
    19. 19)
      • 14. Wu, H.: ‘Decentralised adaptive robust control of uncertain large-scale non-linear dynamical systems with time-varying delays’, IET Control Theory Appl., 2012, 6, (5), pp. 629640.
    20. 20)
      • 11. Ye, X., Huang, J., Unbehaue, H.: ‘Decentralized robust stabilization for large-scale feedforward nonlinear systems’, Int. J. Control, 2006, 79, (12), pp. 15051511.
    21. 21)
      • 6. La, H.C., Potschka, A., Bock, H.G.: ‘Partial stability for nonlinear model predictive control’, Automatica, 2017, 78, pp. 1419.
    22. 22)
      • 19. Liu, J., Wu, C., Wang, Z., et al.: ‘Reliable filter design for sensor networks in the type-2 fuzzy framework’, IEEE Trans. Ind. Inf., 2017, 13, (4), pp. 17421752.
    23. 23)
      • 4. Farina, M., Scattolini, R.: ‘Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints’, Automatica, 2015, 48, (23), pp. 266271.
    24. 24)
      • 17. Liu, J., Luo, W., Yang, X., et al.: ‘Robust model-based fault diagnosis for pem fuel cell air-feed system’, IEEE Trans. Ind. Electron., 2016, 63, (5), pp. 32613270.
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