Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs

@article{Liu2016NeuralCD,
  title={Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs},
  author={Yanjun Liu and Shaocheng Tong and C. L. Philip Chen and Dongjuan Li},
  journal={IEEE Transactions on Cybernetics},
  year={2016},
  volume={46},
  pages={9-19}
}
This paper studies an adaptive neural control for nonlinear multiple-input multiple-output systems in interconnected form. The studied systems are composed of ${N}$ subsystems in pure feedback structure and the interconnection terms are contained in every equation of each subsystem. Moreover, the studied systems consider the effects of Prandtl-Ishlinskii (PI) hysteresis model. It is for the first time to study the control problem for such a class of systems. In addition, the proposed scheme… CONTINUE READING
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