Control-oriented modelling and identification : theory and practice

The process of developing control-oriented mathematical models of physical systems is a complex task, which in general implies a careful combination of prior knowledge about the physics of the system under study with information coming from experimental data. This book presents state of the art meth...

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Bibliographic Details
Other Authors Lovera, Marco (Editor)
Format Electronic eBook
LanguageEnglish
Published London, United Kingdom : Institution of Engineering and Technology, 2015.
SeriesIET control engineering series ; 80.
Subjects
Automatic control > Mathematical models.
System design.
Control theory.
System identification.
elektronické knihy
electronic books
Online AccessFull text
ISBN184919615X
9781849196154
9781680158328
1680158325
9781849196147
1849196141
Physical Description1 online resource

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Table of Contents:
  • 1. Introduction to control-oriented modelling / Marco Lovera; 2. Object-oriented modelling and simulation of physical systems / Francesco Casella; 3. Projection-based model reduction techniques / Pierre Vuillemin, Charles Poussot-Vassal and Daniel Alazard; 4. Integrated modelling and parameter estimation: an LFR-Modelica approach / Marco Lovera and Francesco Casella; 5. Identification for robust control of complex systems: algorithm and motion application / Tom Oomen and Maarten Steinbuch.
  • 6. Subspace-based multi-step predictors for predictive control / Marzia Cescon and Rolf Johansson7. Closed-loop subspace predictive control / Gijs van der Veen, Jan-Willem van Wingerden and Michel Verhaegen; 8. Structured nonlinear system identification / Tyrone Vincent, Kameshwar Poolla and Carlo Novara; 9. Linear fractional LPV model identification from local experiments using an H∞-based glocal approach / Daniel Vizer, Guillaume Mercère, Edouard Laroche and Olivier Prot; 10. Object-oriented modelling of spacecraft dynamics: tools and case studies / Marco Lovera and Francesco Casella
  • 11. Control-oriented aeroelastic BizJet low-order LFT modeling / Charles Poussot-Vassal, Clement Roos, Pierre Vuillemin, Olivier Cantinaud and Jean-Patrick Lacoste12. Active vibration control using subspace predictive control / Gijs van der Veen, Jan-Willem van Wingerden and Michel Verhaegen; 13. Rotorcraft system identification: an integrated time-frequency-domain approach / Marco Bergamasco and Marco Lovera; 14. Parameter identification of a reduced order LFT model of anaerobic digestion / Alessandro Della Bona, Gianni Ferretti, Elena Ficara and Francesca Malpei.
  • 15. Modeling and parameter identification of a brake-by-wire actuator for racing motorcycles / Matteo Corno, Fabio Todeschini, Giulio Panzani and Sergio M. Savaresi16. LPV modeling and identification of a 2-DOF flexible robotic arm from local experiments using an H∞-based glocal approach / Daniel Vizer, Guillaume Mercère, Edouard Laroche and Olivier Prot; Index

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