Robust Execution for Stochastic Hybrid Systems: Algorithms for Control, Estimation and Learning - Couverture souple

Blackmore, Lars

 
9783639098006: Robust Execution for Stochastic Hybrid Systems: Algorithms for Control, Estimation and Learning
Couverture souple
ISBN 10 : 3639098005 ISBN 13 : 9783639098006
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and space probes, have enormous potential in areas such as reconnaissance and space exploration. However the effectiveness and robustness of these systems is currently restricted by a lack of autonomy. A model-based executive, which increases the level of autonomy can be used to simplify the operator¿s task and leave degrees of freedom in the plan that allow the executive to optimize resources and ensure robustness to uncertainty. Uncertainty arises due to uncertain state estimation, disturbances, model uncertainty and component failures. This book develops a model-based executive that reasons explicitly from a stochastic hybrid discrete-continuous system model to find the optimal course of action, while ensuring the required level of robustness to uncertainty is achieved. The executive makes use of new algorithms for control, estimation and learning of stochastic systems, which are presented in this book.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and space probes, have enormous potential in areas such as reconnaissance and space exploration. However the effectiveness and robustness of these systems is currently restricted by a lack of autonomy. A model-based executive, which increases the level of autonomy can be used to simplify the operator¿s task and leave degrees of freedom in the plan that allow the executive to optimize resources and ensure robustness to uncertainty. Uncertainty arises due to uncertain state estimation, disturbances, model uncertainty and component failures. This book develops a model-based executive that reasons explicitly from a stochastic hybrid discrete-continuous system model to find the optimal course of action, while ensuring the required level of robustness to uncertainty is achieved. The executive makes use of new algorithms for control, estimation and learning of stochastic systems, which are presented in this book.

Biographie de l'auteur

Lars has a Ph.D. in Control and Estimation from the Massachusetts Institute of Technology, where he was supervised by Prof. Brian Williams. He has B.A. and M.Eng. degrees from the University of Cambridge, supervised by Prof. Keith Glover. He is now with the Guidance and Control Analysis Group at the NASA Jet Propulsion Laboratory.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639098005
ISBN 13 
9783639098006
Reliure
Broché
Nombre de pages
188
Coordonnées du fabricant
non disponible
Personne responsable
non disponible