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Original Articles

ELM-based adaptive backstepping neural control for a class of uncertain MIMO nonlinear systems with predefined tracking accuracy

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Pages 1047-1060 | Received 10 Jun 2013, Accepted 10 Nov 2013, Published online: 20 Dec 2013

References

  • Chen, B., Liu, X., Liu, K., & Lin, C. (2009). Novel adaptive neural control design for nonlinear MIMO time-delay systems. Automatica, 45, 1554–1560.
  • Chen, M., Ge, S.S., & How, V.E. (2010). Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. IEEE Transactions on Neural Networks, 21, 796–812.
  • Chen, W., & Ge, S.S. (2013). Adaptive backstepping neural network control for uncertain strict-feedback systems with tracking accuracy known a priori. IEEE Transactions on Neural Networks and Learning Systems. Manuscript submitted for publication.
  • Chen, W., Jiao, L.C., & Wu, J. (2011). Globally stable adaptive robust tracking control using RBF neural networks as feedforward compensator. Neural Computing and Applications, 21(2), 351–363.
  • Choi, J., Stove, J., & Farrell, J. (2001). Adaptive observer backstepping control using neural networks. IEEE Transactions on Neural Networks, 21, 1103–1112.
  • Elkoteshy, Y., Yang, S., & Jiao, L.C. (2013). Stable direct adaptive neural control of an electrically driven dual-axis motion platform using backstepping technique. In Proceeding of the 3rd IFAC International Conference on Intelligent Control and Automation Science (pp. 154–159), Chengdu, China.
  • Ge, S.S., & Hang, C.C. (2002). Stable adaptive neural network control. New York, NY: Kluwer Academic Publishers.
  • Ge, S.S., Huang, C.C., & Zhang, T. (2000). Stable adaptive control for multi-variable systems with a triangular control structure. IEEE Transactions on Automatic Control, 45, 1221–1225.
  • Ge, S.S., Li, G.Y., Zang, J., & Lee, T.H. (2004b). Direct adaptive control for a class of MIMO nonlinear systems using neural networks. IEEE Transactions on Automatic Control, 49, 2001–2006.
  • Ge, S.S., & Tee, K.P. (2007). Approximation-based control of nonlinear MIMO time-delay systems. Automatica, 43, 31–43.
  • Ge, S.S., & Wang, C. (2004a). Adaptive neural control of uncertain MIMO nonlinear systems. IEEE Transactions on Neural Networks, 15, 674–692.
  • Huang, G.-B., Chen, L., & Siew, C.-K. (2006b). Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Transactions on Neural Networks, 17, 879–892.
  • Huang, G.-B., Zhu, Q.Y., & Siew, C.K. (2006a). Extreme learning machine: Theory and applications. Neurocomputing, 70, 489–501.
  • Huang J.-T. (2012), Global tracking control of strict-feedback systems using neural networks. IEEE Transactions on Neural Networks, 23, 1714–1725.
  • Kanellakopoulos, I., Kokotovic, P.V., & Morse, A.S. (1991). Systematic design of adaptive controllers for feedback linearizable systems. IEEE Transactions on Automatic Control, 36, 1241–1253.
  • Liang, N.-Y., Huang, G.-B., Saratchandran, P., & Sundararajan, N. (2006). A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Transactions on Neural Networks, 17, 1411–1423.
  • Lin, H., Yan, W., Wang, J., Yao, Y., & Gao, B. (2009). Robust nonlinear speed control for brushless DC motor using model reference adaptive backstepping approach. In Proceedings of the IEEE International Conference on Mechatronics and Automation (pp. 335–340). Changchun, China.
  • Slotine, J.-J.E., & Li, W. (1991). Applied nonlinear control. Englewood Cliffs, NJ: Prentice Hall.
  • Wang, C., Hill, D., Ge, S.S., & Chen, G. (2006). An ISS-modular approach for adaptive neural control of pure-feedback systems. Automatica, 42, 723–731.
  • Yang, C., Li, Y., Ge, S.S., & Lee, T.H. (2010). Adaptive control of a class of discrete-time MIMO nonlinear systems with uncertain coupling. International Journal of Control, 83, 2120–2133.
  • Yang, C., Ma, H., & Fu, M. (2013). Adaptive predictive control of a periodic non-linear auto-regressive moving average systems using nearest-neighbour compensation. IET Control Theory & Applications, 7, 936–951.
  • Yang, X., Fei, L., & Zheng, Z. (2012). Adaptive neural control of switched nonlinear stochastic system with time-varying delay based on extreme learning machine. Lecture Notes in Computer Science, 7667, 713–721.
  • Zhang, T.P., & Ge, S.S. (2007). Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs. Automatica, 43, 1021–1033.
  • Zhang, T.P., & Ge, S.S. (2008). Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form. Automatica, 44, 1895–1903.
  • Zhou, J., Wen, C., & Zhang, Y. (2006). Adaptive output control of nonlinear systems with uncertain dead-zone nonlinearity. IEEE Transactions on Automatic Control, 51, 504–510.

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