Control-oriented Modelling and Identification

Marco Lovera is Professor of Automatic Control at the Dipartimento di Elettronica e Informazione of the Politecnico di Milano, Italy. His research interests include system identification, spacecraft attitude and orbit control, and advanced active control applications. He is the author of more than 150 scientific publications in these areas. Professor Lovera is currently associate editor of Automatica and IEEE Transactions on Control Systems Technology and is on the editorial board of IET Control Theory and Applications and IEEE Control Systems Magazine. He is a member of the IFAC Technical Committees on Aerospace and on Control Design, and of the IEEE Control Systems Society Technical Committee on System Identification and Adaptive Control.

Chapter 1: Introduction to control-oriented modelling
Chapter 2: Object-oriented modelling and simulation of physical systems
Chapter 3: Projection-based model reduction techniques
Chapter 4: Integrated modelling and parameter estimation: an LFR - Modelica approach
Chapter 5: Identification for robust control of complex systems: algorithm and motion application
Chapter 6: Subspace-based multi-step predictors for predictive control
Chapter 7: Closed-loop subspace predictive control
Chapter 8: Structured nonlinear system identification
Chapter 9: Linear fractional LPV model identification from local experiments using an H∞-based glocal approach
Chapter 10: Object-oriented modelling of spacecraft dynamics: tools and case studies
Chapter 11: Control-oriented aeroelastic BizJet low-order LFT modeling
Chapter 12: Active vibration control using subspace predictive control
Chapter 13: Rotorcraft system identification: an integrated time - frequency-domain approach
Chapter 14: Parameter identification of a reduced order LFT model of anaerobic digestion
Chapter 15: Modeling and parameter identification of a brake-by-wire actuator for racing motorcycles
Chapter 16: LPV modeling and identification of a 2-DOF flexible robotic arm from local experiments using an H∞-based glocal approach