Control-Oriented Modelling and Identification: Theory and Practice

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.

Author: Marco Lovera
Binding Type: Hardcover
Publisher: Institution of Engineering & Technology
Published: 01/07/2015
Series: Control, Robotics and Sensors
Pages: 408
Weight: 1.65lbs
Size: 9.40h x 6.40w x 1.10d
ISBN: 9781849196147