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Control-oriented Modelling and Identification
Control-oriented Modelling and Identification

Control-oriented Modelling and Identification

Theory and practice
Marco Lovera
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pages
408 pages
language
English
format
PDF
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Control-oriented Modelling and Identification

Theory and practice
Marco Lovera
Book details
Table of contents

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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Information

Publisher
The Institution of Engineering and Technology
Year
2015
ISBN
9781849196154
Topic
Technology & Engineering
Subtopic
Electrical Engineering & Telecommunications

Table of contents