Control-Oriented Modelling and Identification Theory and Practice [Hardcover]

This comprehensive collection covers the state-of-the-art in control-oriented modelling and identification techniques. With contributions from leading researchers in the subject, it covers the main methods and tools available to develop advanced mathematical models suitable for control system design, including an overview of the problems that can arise during the design process. It also takes a practical look at a variety of applications of advanced modelling and identification techniques.Introduction to control-oriented modellingMarco Lovera

Object-oriented Modelling and Simulation of Physical SystemsFrancesco Casella

Projection based model reduction techniquesPierre Vuillemin, Charles Poussot-Vassal and Daniel Alazard

Integrated modelling and parameter estimation: an LFR-Modelica approachMarco Lovera and Francesco Casella

Identification for robust control of complex systems: Algorithm and motion applicationTom Oomen and Maarten Steinbuch

Subspace-based multi-step predictors for predictive controlMarzia Cescon and Rolf Johansson

Closed-loop subspace predictive controlGijs van der Veen, Jan-Willem van Wingerden and Michel Verhaegen

Structured Nonlinear System IdentificationTyrone Vincent, Kameshwar Poolla and Carlo Novara

Linear fractional LPV model identification from local experiments using an H1-based glocal approachDaniel Vizer, Guillaume Merc?re, Edouard Laroche and Olivier Prot

Object-oriented modelling of spacecraft dynamics: tools and case studiesMarco Lovera and Francesco Casella

Control-oriented Aeroelastic BizJet Low-order LFT modellingC. Poussot-Vassal, C. Roos, P. Vuillemin, O. Cantinaud and J-P. Lacoste

Active vibration control using subspace predictive controlGijs van der Veen, Jan-Willem vanWingerden and Michel Verhaegen

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