Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems (Hardcover, 2nd ed. 2017)

This book presents theory and latest application work in Bond Graph methodology with a focus on: * Hybrid dynamical system models, * Model-based fault diagnosis, model-based fault tolerant control, fault prognosis * and also addresses * Open thermodynamic systems with compressible fluid flow, * Distributed parameter models of mechanical subsystems. In addition, the book covers various applications of current interest ranging from motorised wheelchairs, in-vivo surgery robots, walking machines to wind-turbines.The up-to-date presentation has been made possible by experts who are active members of the worldwide bond graph modelling community. This book is the completely revised 2nd edition of the 2011 Springer compilation text titled Bond Graph Modelling of Engineering Systems - Theory, Applications and Software Support. It extends the presentation of theory and applications of graph methodology by new developments and latest research results. Like the first edition, this book addresses readers in academia as well as practitioners in industry and invites experts in related fields to consider the potential and the state-of-the-art of bond graph modelling.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	2017
First published:	2017
Editors:	Wolfgang Borutzky
Dimensions:	235 x 155 x 38mm (L x W x T)
Format:	Hardcover
Pages:	679
Edition:	2nd ed. 2017
ISBN-13:	978-3-319-47433-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-319-47433-2
Barcode:	9783319474335

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