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Control-Oriented Modelling and Identification: Theory and Practice
Hardcover
Series: Control, Robotics and Sensors
ISBN13: 9781849196147
Publisher: Institution Of Engineering & T
Published: Jan 7 2015
Pages: 408
Weight: 1.65
Height: 1.10 Width: 6.40 Depth: 9.40
Language: English
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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