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Event-Triggered State-Feedback via Dynamic High-Gain Scaling for Nonlinearly Bounded Triangular Dynamics

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 475))

Abstract

This paper focuses on the construction of Event-Triggered state feedback laws. The approach followed is a high-gain approach. The event which triggers an update of the control law is based on a dynamical system in which the state is the high-gain parameter. This approach allows to design a control law ensuring convergence to the origin for nonlinear systems with triangular structure and a specific upper bound on the nonlinearities which is more general than a linear growth condition.

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Notes

  1. 1.

    If Z is a symmetric matrix, \(\lambda _{\max }(Z)\) and \(\lambda _{\min }(Z)\) denote its largest and its smallest eigenvalue, respectively.

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Correspondence to V. Andrieu .

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Peralez, J., Andrieu, V., Nadri, M., Serres, U. (2018). Event-Triggered State-Feedback via Dynamic High-Gain Scaling for Nonlinearly Bounded Triangular Dynamics. In: Tarbouriech, S., Girard, A., Hetel, L. (eds) Control Subject to Computational and Communication Constraints. Lecture Notes in Control and Information Sciences, vol 475. Springer, Cham. https://doi.org/10.1007/978-3-319-78449-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-78449-6_8

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