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Control-oriented Modelling and Identification: Theory and practice

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Editor: Marco Lovera 1
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Publication Year: 2015

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.

Inspec keywords: predictive control; aircraft control; reduced order systems; helicopters; actuators; large-scale systems; closed loop systems; control system synthesis; nonlinear control systems; manipulators; motorcycles; robust control; linear parameter varying systems; parameter estimation

Other keywords: vibration control; control system design; structured nonlinear system identification; mathematical model; control-oriented modelling; identification technique; robust control; complex systems; subspace-based multistep predictor; linear fractional LPV model identification; object-oriented modelling and simulation; projection-based model reduction technique; anaerobic digestion; brake-by-wire racing motorcycle actuator; spacecraft dynamics; integrated modelling; closed-loop subspace predictive control; rotorcraft; parameter estimation; robotic arm

Subjects: Control system analysis and synthesis methods; Manipulators; General and management topics; Specific control systems; Actuating and final control devices; Transportation system control; Optimal control; Simulation, modelling and identification

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