Nonlinear Control of Large Scale complex Systems using Convex Control Design tools

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 viarety of constraints, including limited control constraints as well as constraints that are nonlinear functions of the system controls and outputs (sensor measurements); 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.

Published in:
2011 19th Mediterranean Conference on Control & Automation (MED), 1022-1027
Presented at:
Automation (MED 2011), Corfu, Greece, 20-23 06 2011

 Record created 2012-05-16, last modified 2018-01-28

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