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Neural network-based state estimatio...
~
Talebi, H. A., (1965-)
Neural network-based state estimation of nonlinear systems : = application to fault detection and isolation /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Neural network-based state estimation of nonlinear systems :/ Heidar A. Talebi ... [et al.].
Reminder of title:
application to fault detection and isolation /
other author:
Talebi, H. A.,
Published:
New York ;Springer, : c2010.:,
Description:
xix, 154 p. :ill ; : 24 cm.;
Subject:
Control theory. -
ISBN:
9781441914378 (pbk.) :
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 /Heidar A. Talebi ... [et al.]. - New York ;Springer,c2010.: - xix, 154 p. :ill ;24 cm. - Lecture notes in control and information sciences,3950170-8643 ;. - Lecture notes in control and information sciences ;382..
Includes bibliographical references and index.
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.
ISBN: 9781441914378 (pbk.) :NT3333Subjects--Topical Terms:
527674
Control theory.
LC Class. No.: QA76.87 / .N48 2010
Dewey Class. No.: 629.836
Neural network-based state estimation of nonlinear systems : = application to fault detection and isolation /
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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.
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