9783319851235 - decentralized neural control: application to robotics (studies in systems, decision and control, band 96) von garcia-hernandez, ramon; lopez-franco, michel; sanchez, edgar n.; alanis, alma y.; ruz-hernandez, jose a. (3 Ergebnisse)
Decentralized Neural Control: Application to Robotics (Studies in Systems, Decision and Control, 96)
Garcia-Hernandez, Ramon; Lopez-Franco, Michel; Sanchez, Edgar N.; Alanis, Alma Y.; Ruz-Hernandez, Jose A.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Studies in Systems, Decision and Control, Buch 85 von 378. Buch 85 von 378 - Studies in Systems, Decision and Control
- Softcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Studies in Systems, Decision and Control, Buch 85 von 378. Buch 85 von 378 - Studies in Systems, Decision and Control
- Softcover
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Taschenbuch. Zustand: Neu. Decentralized Neural Control: Application to Robotics | Ramon Garcia-Hernandez (u. a.) | Taschenbuch | xv | Englisch | 2018 | Springer | EAN 9783319851235 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter:… preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2018
Serie: Studies in Systems, Decision and Control, Buch 85 von 378. Buch 85 von 378 - Studies in Systems, Decision and Control
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficultie…s due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors.This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF).The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold.The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network.The thirdcontrol scheme applies a decentralized neural inverse optimal control for stabilization.The fourth decentralized neural inverse optimal control is designed for trajectory tracking.This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.
