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· 2013

Multi-Parametric Toolbox 3.0

Martin Herceg, Michal Kvasnica, Colin N. Jones, Manfred Morari

Short summary

Multi-Parametric Toolbox (MPT) 3.0, a complete rewrite of the Matlab-based algorithm collection for optimal controllers, now features a more flexible structure, faster integration of new algorithms, and improved numerical performance.

AI-generated from the title and abstract; the full text is not read.

Key points

  • MPT 3.0 is a complete rewrite of the original toolbox, offering a more flexible structure.
  • The toolbox now integrates new algorithms faster.
  • Numerical performance is improved via interfaces to advanced solvers and a new parametric solver.
  • Algorithms for real-time model predictive controllers have been extensively tested.

AI-generated from the title and abstract; the full text is not read.

Abstract

The Multi-Parametric Toolbox is a collection of algorithms for modeling, control, analysis, and deployment of constrained optimal controllers developed under Matlab. It features a powerful geometric library that extends the application of the toolbox beyond optimal control to various problems arising in computational geometry. The new version 3.0 is a complete rewrite of the original toolbox with a more flexible structure that offers faster integration of new algorithms. The numerical side of the toolbox has been improved by adding interfaces to state of the art solvers and by incorporation of a new parametric solver that relies on solving linear-complementarity problems. The toolbox provides algorithms for design and implementation of real-time model predictive controllers that have been extensively tested.

The authors' abstract, as published at the source., 2013 · DOI ↗

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Field: Control and Systems Engineering

Control and Systems EngineeringEngineering