Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation.
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 c...
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| Format: | Conference item |
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IEEE
2011
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| _version_ | 1797085790561370112 |
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| author | Baldi, S Kosmatopoulos, E Aboudolas, K Rovas, D Papachristodoulou, A Ioannou, P |
| author_facet | Baldi, S Kosmatopoulos, E Aboudolas, K Rovas, D Papachristodoulou, A Ioannou, P |
| author_sort | Baldi, S |
| collection | OXFORD |
| description | 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; 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. © 2011 IEEE. |
| first_indexed | 2024-03-07T02:12:58Z |
| format | Conference item |
| id | oxford-uuid:a14a1458-c4b9-431b-bd87-cd6110e9046b |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:12:58Z |
| publishDate | 2011 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:a14a1458-c4b9-431b-bd87-cd6110e9046b2022-03-27T02:12:00ZNonlinear control of large scale complex systems using convex optimization tools and self-adaptation.Conference itemhttp://purl.org/coar/resource_type/c_5794uuid:a14a1458-c4b9-431b-bd87-cd6110e9046bSymplectic Elements at OxfordIEEE2011Baldi, SKosmatopoulos, EAboudolas, KRovas, DPapachristodoulou, AIoannou, PBased 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. © 2011 IEEE. |
| spellingShingle | Baldi, S Kosmatopoulos, E Aboudolas, K Rovas, D Papachristodoulou, A Ioannou, P Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title_full | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title_fullStr | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title_full_unstemmed | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title_short | Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. |
| title_sort | nonlinear control of large scale complex systems using convex optimization tools and self adaptation |
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