Control-Oriented Modelling and Identification

Theory and Practice
Herausgeber: Lovera, Marco

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 408
• Erscheinungstermin: 7. Januar 2015
• Englisch
• Abmessung: 240mm x 161mm x 26mm
• Gewicht: 780g
• ISBN-13: 9781849196147
• ISBN-10: 1849196141
• Artikelnr.: 37685228

Inhaltsangabe

* 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