RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays

DOI10.1016/j.jfranklin.2017.11.014zbMath1380.93165OpenAlexW2773677552WikidataQ58030089 ScholiaQ58030089MaRDI QIDQ681182

Jorge D. Rios, Alma Y. Alanis, Nancy Arana-Daniel, Carlos López-Franco

Publication date: 30 January 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.11.014

zbMATH Keywords

Lyapunov analysisneural identifier-control schemerecurrent high order neural network (RHONN)semi-globally uniformly ultimately boundedness (SGUUB)uncertain nonlinear discrete-time systemsunknown time-delays

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) Variable structure systems (93B12) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (1)

Real‐time neural observer‐based controller for unknown nonlinear discrete delayed systems

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