ISBN: 9781849966580

This monograph studies the design of robust, monotonically-convergent it- ative learning controllers for discrete-time systems. Iterative learning control (ILC) is well-recognized as an e… Mehr…

This monograph studies the design of robust, monotonically-convergent it- ative learning controllers for discrete-time systems. Iterative learning control (ILC) is well-recognized as an e?cient method that o?ers signi?cant p- formance improvement for systems that operate in an iterative or repetitive fashion (e. g. , robot arms in manufacturing or batch processes in an industrial setting). Though the fundamentals of ILC design have been well-addressed in the literature, two key problems have been the subject of continuing - search activity. First, many ILC design strategies assume nominal knowledge of the system to be controlled. Only recently has a comprehensive approach to robust ILC analysis and design been established to handle the situation where the plant model is uncertain. Second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergencecan be essential. This monograph addresses these two keyproblems by providingauni?ed analysisanddesignframeworkforrobust, monotonically-convergent ILC. The particular approach used throughout is to consider ILC design in the iteration domain, rather than in the time domain. Using a lifting technique, the two-dimensionalILC system, whichhas dynamics in both the time and - erationdomains,istransformedintoaone-dimensionalsystem,withdynamics only in the iteration domain. The so-called super-vector framework resulting from this transformation is used to analyze both robustness and monotonic convergence for typical uncertainty models, including parametric interval - certainties, frequency-like uncertainty in the iteration domain, and iterati- domain stochastic uncertainty. Books > Engineering Soft cover, Springer Shop<

2010, ISBN: 9781849966580

Gebundene Ausgabe

Erscheinungsdatum: 19.10.2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Iterative Learning Control, Titelzusatz: Robustness and Monotonic Convergence for Interval Sys… Mehr…

Erscheinungsdatum: 19.10.2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Iterative Learning Control, Titelzusatz: Robustness and Monotonic Convergence for Interval Systems, Auflage: Softcover reprint of hardcover 1st ed. 2007, Autor: Ahn, Hyo-Sung // Chen, Yangquan // Moore, Kevin L., Verlag: Springer London, Sprache: Englisch, Schlagworte: Biomedizinische Technik // Molekularbiologie // Elektronische Geräte und Materialien // Regelungstechnik // Informationstechnik // IT // allgemeine Themen // Künstliche Intelligenz, Rubrik: Elektronik // Elektrotechnik, Nachrichtentechnik, Seiten: 248, Informationen: Paperback, Gewicht: 382 gr, Verkäufer: averdo Belletristik<

2007, ISBN: 9781849966580

*Iterative Learning Control* - Robustness and Monotonic Convergence for Interval Systems. Softcover reprint of hardcover 1st ed. 2007 / Taschenbuch für 160.49 € / Aus dem Bereich: Bücher,… Mehr…

*Iterative Learning Control* - Robustness and Monotonic Convergence for Interval Systems. Softcover reprint of hardcover 1st ed. 2007 / Taschenbuch für 160.49 € / Aus dem Bereich: Bücher, Wissenschaft, Technik Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Elektronik, Elektrotechnik, Nachrichtentechnik, Springer London<

2007, ISBN: 1849966583

Gebundene Ausgabe

Iterative Learning Control ab 149.99 € als Taschenbuch: Robustness and Monotonic Convergence for Interval Systems. Softcover reprint of hardcover 1st ed. 2007. Aus dem Bereich: Bücher, Ta… Mehr…

Iterative Learning Control ab 149.99 € als Taschenbuch: Robustness and Monotonic Convergence for Interval Systems. Softcover reprint of hardcover 1st ed. 2007. Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft, Springer London<

ISBN: 9781849966580

Springer , pp. 250 . Papeback. New., Springer, 6