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Control-oriented Modelling and Identification: Theory and practice
edited by Marco Lovera
The Institution of Engineering and Technology, 2015
eISBN: 978-1-84919-615-4 | Cloth: 978-1-84919-614-7
Library of Congress Classification TJ213.C57245 2015
Dewey Decimal Classification 629.89

ABOUT THIS BOOK | TOC
ABOUT THIS BOOK

This comprehensive book covers the state-of-the-art in control-oriented modelling and identification techniques. With contributions from leading researchers in the subject, Control-oriented Modelling and Identification: Theory and practice covers the main methods and tools available to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace-based multi-step predictors for predictive control; closed-loop subspace predictive control; structured nonlinear system identification; and linear fractional LPV model identification from local experiments using an H1-based glocal approach.

This book also takes a practical look at a variety of applications of advanced modelling and identification techniques covering spacecraft dynamics, vibration control, rotorcrafts, models of anaerobic digestion, a brake-by-wire racing motorcycle actuator, and robotic arms.

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