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Adaptive NN prescribed performance control for nonlinear systems with output dead zone

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Abstract

This paper investigates adaptive neural network (NN) prescribed performance output tracking control problem for a class of strict-feedback nonlinear systems with output dead zone. By introducing a Nussbaum function, the problem of unknown virtual control coefficient is resolved, which is caused by the nonlinearity in the output dead zone. By designing the state observer and utilizing backstepping recursive design technique, a new adaptive NN control method is proposed. It is shown that all the signals of the resulting closed-loop system are bounded and the tracking error remains an adjustable neighborhood of the origin with the predefined performance under the effect of output dead zone. Finally, a simulation example is given at the simulation part, which further demonstrate the effectiveness of proposed control method.

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Authors and Affiliations

  1. Hebei Electric Power Design & Research Institute, Shijiazhuang, 050000, China

    Hailong Yan

  2. China Energy Engineering Group Xinjiang Electric Power Design Institute Co. LTD, Urumchi, 830000, China

    Yansong Li

Authors
  1. Hailong Yan
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  2. Yansong Li
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Correspondence to Hailong Yan.

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Yan, H., Li, Y. Adaptive NN prescribed performance control for nonlinear systems with output dead zone. Neural Comput & Applic 28, 145–153 (2017). https://doi.org/10.1007/s00521-015-2043-4

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  • DOI: https://doi.org/10.1007/s00521-015-2043-4

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