Control-oriented Modelling and Identification : Theory and practice Hardback
Edited by Marco (Professor of Automatic Control, Politecnico di Milano, Dipartimento di Elettronica e Lovera
Part of the Control, Robotics and Sensors series
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.
- Format: Hardback
- Pages: 408 pages
- Publisher: Institution of Engineering and Technology
- Publication Date: 25/11/2014
- Category: Automatic control engineering
- ISBN: 9781849196147