Semiglobally ISpS Disturbance Attenuation via Adaptive Neural Design for a Class of Nonlinear Systems

@article{Zhou2006SemigloballyID,
  title={Semiglobally ISpS Disturbance Attenuation via Adaptive Neural Design for a Class of Nonlinear Systems},
  author={Guopeng Zhou and Weizhou Su and Cong Wang},
  journal={2006 6th World Congress on Intelligent Control and Automation},
  year={2006},
  volume={1},
  pages={2964-2968}
}
This paper considers the disturbance attenuation problem in certain practical sense for a class of multi-input multi-output nonlinear systems with structure uncertainties which are modelled by unknown smooth function vectors and matrices. The system under consideration is composed of two cascaded subsystems: a zero-input asymptotically stable nonlinear one and a linearizable one which is controllable. The output of the system is a function vector of the states of these two subsystems. To solve… CONTINUE READING

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