dc.contributor.author | Baldi, S. | en |
dc.contributor.author | Kosmatopoulos, E. B. | en |
dc.contributor.author | Ampountolas, Konstantinos | en |
dc.contributor.author | Rovas, D. | en |
dc.contributor.author | Papachristodoulou, A. | en |
dc.contributor.author | Ioannou, Petros A. | en |
dc.creator | Baldi, S. | en |
dc.creator | Kosmatopoulos, E. B. | en |
dc.creator | Ampountolas, Konstantinos | en |
dc.creator | Rovas, D. | en |
dc.creator | Papachristodoulou, A. | en |
dc.creator | Ioannou, Petros A. | en |
dc.date.accessioned | 2019-12-02T10:33:43Z | |
dc.date.available | 2019-12-02T10:33:43Z | |
dc.date.issued | 2011 | |
dc.identifier.isbn | 978-1-61284-800-6 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56451 | |
dc.description.abstract | Based 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 | en |
dc.description.abstract | 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 | en |
dc.description.abstract | 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 | en |
dc.description.abstract | 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. © 2011 IEEE. | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source | 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860690244&doi=10.1109%2fCDC.2011.6160258&partnerID=40&md5=619b5a0bffe0b878be46b6d8d311ebad | |
dc.subject | Optimization | en |
dc.subject | Large scale systems | en |
dc.subject | Convex optimization | en |
dc.subject | Nonlinear functions | en |
dc.subject | Flowcharting | en |
dc.subject | Control design | en |
dc.subject | Convex design | en |
dc.subject | Control constraint | en |
dc.subject | Non linear control | en |
dc.subject | Self adaptation | en |
dc.subject | Selftuning | en |
dc.subject | System control | en |
dc.title | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/CDC.2011.6160258 | |
dc.description.startingpage | 5407 | |
dc.description.endingpage | 5412 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 89653 | en |
dc.description.notes | Cited By :2</p> | en |
dc.contributor.orcid | Ampountolas, Konstantinos [0000-0001-6517-8369] | |
dc.contributor.orcid | Ioannou, Petros A. [0000-0001-6981-0704] | |
dc.contributor.orcid | Papachristodoulou, A. [0000-0002-3565-8967] | |
dc.contributor.orcid | Rovas, D. [0000-0002-5639-6783] | |
dc.gnosis.orcid | 0000-0001-6517-8369 | |
dc.gnosis.orcid | 0000-0001-6981-0704 | |
dc.gnosis.orcid | 0000-0002-3565-8967 | |
dc.gnosis.orcid | 0000-0002-5639-6783 | |