Nonlinear control of large scale complex systems using convex optimization tools and self-adaptation
Kosmatopoulos, E. B.
Ioannou, Petros A.
SourceProceedings of the IEEE Conference on Decision and Control
2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Google Scholar check
MetadataShow full item record
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 performance2) 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 states3) Being intrinsically self-tunable, able to rapidly and efficiently optimize LSCS performance when short-, medium- or long-time variations affect the large-scale system4) 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.
Showing items related by title, author, creator and subject.
Baldi, S.; Ioannou, Petros A.; Kosmatopoulos, E. B. (2012)A recently developed control scheme for approximately optimal control of nonlinear systems is the so-called Convex Control Design (ConvCD) methodology, that transforms the control problem of generic nonlinear systems into ...
Kuipers, M.; Ioannou, Petros A. (2010)Despite the remarkable theoretical accomplishments and successful applications of adaptive control, the field is not sufficiently mature to solve challenging control problems where strict performance and robustness guarantees ...
Baldi, S.; Michailidis, I.; Kosmatopoulos, E. B.; Papachristodoulou, A.; Ioannou, Petros A. (2014)This paper describes a new control scheme for approximately optimal control (AOC) of nonlinear systems, convex control design (ConvCD). The key idea of ConvCD is to transform the approximate optimal control problem into a ...