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Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation

Rovas Dimitrios, E.B. Kosmatopoulos, K. Aboudolas, S. Baldi

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URIhttp://purl.tuc.gr/dl/dias/FAD06340-B43E-4970-AE04-6F1172ECD1F3-
Αναγνωριστικόhttps://doi.org/10.1109/CDC.2011.6160258-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςNonlinear control of large scale complex systems using convex optimization tools and self-adaptationen
ΔημιουργόςRovas Dimitriosen
ΔημιουργόςΡοβας Δημητριοςel
ΔημιουργόςE.B. Kosmatopoulosen
ΔημιουργόςK. Aboudolasen
ΔημιουργόςS. Baldien
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηBased on recent advances on convex design for Large-Scale Control Systems (LSCSs) and robust and efficient LSCS self-tuning/adaptation, a methodology is proposed in this paper which aims at providing an integrated LSCS-design, applicable to large-scale systems of arbitrary scale, heterogeneity and complexity and capable of: 1) Providing stable, efficient and arbitrarily-close-to-optimal LSCS performance; 2) Being able to incorporate a variety of constraints, including limited control constraints as well as constraints that are nonlinear functions of the system controls and states; 3) Being intrinsically self-tunable, able to rapidly and efficiently optimize LSCS performance when short-, medium- or long-time variations affect the large-scale system; 4) Achieving the above, while being scalable and modular. The purpose of the present paper is to provide the main features of the proposed control design methodology.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-17-
Ημερομηνία Δημοσίευσης2011-
Βιβλιογραφική ΑναφοράS. Baldi, E.B. Kosmatopoulos, K. Aboudolas, D. Rovas, A. Papachristodoulou," Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation," in 2011 50th IEEE Conf. on Decision and Control and Eur. Control (CDC-ECC) ,pp.5407 - 5412. doi:10.1109/CDC.2011.6160258en

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