Multi-Parametric Toolbox 3.0

By M. Herceg, Michal Kvasnica, Colin Neil Jones, Manfred Morari. European Control Conference, 2013

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Predictive Control for Linear and Hybrid Systems (2017, methodology): “For more examples and the detailed syntax we refer the interested reader to [149].”
acados—a modular open-source framework for fast embedded optimal control (2019, methodology): “A big role in bringing MPC to real-time applications is played by the implementation of efficient embedded optimal control methods, giving rise to software packages such as MPT [34] for explicit MPC, qpOASES [19], an active-set solver for quadratic programming (QP), FORCES [14,63], an interior-point”
A peridynamic material model for the analysis of dynamic crack propagation in orthotropic media (2014, methodology): “To represent random morphology and location of grains, the microstructure was generated by employing the Voronoi tessellation method, available within the Multi-Parametric Toolbox for MATLAB (Herceg et al. 2013).”
Set-Theoretic Approaches in Analysis, Estimation and Control of Nonlinear Systems (2015, methodology): “Today, many such methods and tools are available for the estimation and control of linear systems – Witness for instance the popularity of Matlab’s Multi-Parametric Toolbox (Herceg et al., 2013).”