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Control-Oriented Modelling and Identification|Marco Lovera

Control-Oriented Modelling and Identification : Theory and Practice

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781849196147
  • ISBN-10: 1849196141
  • Publisher: Institution of Engineering & Technology
  • Publish Date: January 2015
  • Dimensions: 9.4 x 6.4 x 1.1 inches
  • Shipping Weight: 1.65 pounds
  • Page Count: 408

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