<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>Marco Lovera</title><link>https://shop.theiet.org:443/editors/marco-lovera</link><description>Marco Lovera</description><item><title>Control-oriented Modelling and Identification</title><link>https://shop.theiet.org:443/control-orient-mod-indentif</link><description>&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;This comprehensive book covers the state-of-the-art in control-oriented modelling and identification techniques. With contributions from leading researchers in the subject, &lt;i&gt;Control-oriented Modelling and Identification: Theory and practice&lt;/i&gt; 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.&lt;/p&gt;&lt;p xmlns="http://ns.editeur.org/onix/3.0/reference"&gt;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.&lt;/p&gt;</description><pubDate>Mon, 11 Jun 2018 21:13:12 GMT</pubDate><guid isPermaLink="true">https://shop.theiet.org:443/control-orient-mod-indentif</guid></item></channel></rss>