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APPC of Strict-Feedback Systems With Non-linear Dead-Zone  173























                            Figure 10.6 Adaptive NN parameters.


                            ing the transformed system. Novel high-order neural networks (HONNs)
                            with a scalar weight parameter are developed and incorporated into the
                            controller to reduce the computational costs. It is shown in simulations that
                            the effects of unknown system dynamics and dead-zone input can be com-
                            pensated, and the introduced PPF design enhances both the transient and
                            steady-state performance.



                            REFERENCES
                             [1] Tao Gang, Frank L. Lewis, Adaptive Control of Nonsmooth Dynamic Systems,
                               Springer, London, 2001.
                             [2] Gang Tao, P.V. Kokotovic, Adaptive control of plants with unknown dead-zones, IEEE
                               Transactions on Automatic Control 39 (1) (2002) 59–68.
                             [3] Cho Hyonyong, Er-Wei Bai, Convergence results for an adaptive dead zone inverse,
                               International Journal of Adaptive Control and Signal Processing 12 (5) (1998) 451–466.
                             [4] J. Zhou, C. Wen, Y. Zhang, Adaptive output control of nonlinear systems with uncer-
                               tain dead-zone nonlinearity, IEEE Transactions on Automatic Control 51 (3) (2006)
                               504–511.
                             [5] Jing Zhou, Decentralized adaptive control for large-scale time-delay systems with dead-
                               zone input, Automatica 44 (7) (2008) 1790–1799.
                             [6] Xing Song Wang, Chun Yi Su, Henry Hong, Robust Adaptive Control of a Class of
                               Nonlinear Systems with Unknown Dead-Zone, Pergamon Press, Inc., 2004.
                             [7] Salim Ibrir, Wen Fang Xie, Chun Yi Su, Adaptive tracking of nonlinear systems with
                               non-symmetric dead-zone input, Automatica 43 (3) (2007) 522–530.
                             [8] R.R. Selmic, F.L. Lewis, Deadzone compensation in motion control systems using
                               neural networks, in: IEEE International Conference on Control Applications, vol. 1,
                               2000, pp. 288–292.
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