Theoretical and algorithmic advances in multi-parametric programming and control |
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Authors: | Efstratios N Pistikopoulos Luis Dominguez Christos Panos Konstantinos Kouramas Altannar Chinchuluun |
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Institution: | 1. Centre for Process Systems Engineering, London, UK
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Abstract: | This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric
programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include
areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization
for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances
include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC.
A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen
storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption
(PSA) system. |
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Keywords: | |
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