Real‐time model‐free resilient control for discrete nonlinear systems

Motivated by the increasing complexity of systems to be controlled and different system components that cause uncertainties, threats, and disturbances, among other system stressing phenomena. Resilient control is an important design paradigm that has attracted attention from academics, practitioners...

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Veröffentlicht in:	Asian journal of control 2021-09, Vol.23 (5), p.2097-2111
Hauptverfasser:	Alanis, Alma Y., Alvarez, Jesus G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automation & Control Systems Control systems discrete‐time nonlinear systems Disturbances Dynamic stability Extended Kalman filter Induction motors model‐free control neural control Neural networks Nonlinear control Nonlinear systems recurrent neural networks resilient control Science & Technology Technology Uncertainty
Online-Zugang:	Volltext
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