Neural network-based state estimation of nonlinear systems : application to fault detection and isolation

Neural network-based state estimation of nonlinear systems application to fault detection and isolation

Introduction -- Neural network-based state estimation schemes -- Neural network-based system identification schemes -- An actuator fault detection and isolation scheme : experiments in robotic manipulators -- A robust actuator gain fault detection and isolation scheme -- A robust sensor and actuator...

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Weitere Verfasser: Talebi, Heidar A. (BerichterstatterIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Berlin, Heidelberg u.a. Springer 2010
Schriftenreihe:Lecture notes in control and information sciences 395
Schlagworte:
Neural networks (Computer science) > Nonlinear systems > Fault location (Engineering) > Control theory > Neuronales Netz > Nichtlineares System
Online Zugang:Einführung/Vorwort
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Zusammenfassung:Introduction -- Neural network-based state estimation schemes -- Neural network-based system identification schemes -- An actuator fault detection and isolation scheme : experiments in robotic manipulators -- A robust actuator gain fault detection and isolation scheme -- A robust sensor and actuator fault detection and estimation approach -- Appendix A: Preliminary definitions -- Appendix B: Flexible-joint manipulator model -- Appendix C: Neural network learning rules for theorem 6.1 -- Stability conditions of theorem 6.1-part 2.
Beschreibung:XIX, 154 S.
graph. Darst
235 mm x 155 mm
ISBN:9781441914378
978-1-4419-1437-8