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

Baldi, S., Kosmatopoulos, E.B., Aboudolas, K. , Rovas, D., Papachristodoulou, A. and Ioannou, P.A. (2011) Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation. In: 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, FL, USA, 12-15 Dec 2011, pp. 5407-5412. (doi:10.1109/CDC.2011.6160258)

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Publisher's URL: http://dx.doi.org/10.1109/CDC.2011.6160258

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; 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.

Item Type:Conference Proceedings
Keywords:Approximation methods, nonlinear optimal control, optimization, convex programming
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ampountolas, Dr Konstantinos
Authors: Baldi, S., Kosmatopoulos, E.B., Aboudolas, K., Rovas, D., Papachristodoulou, A., and Ioannou, P.A.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment

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