The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/2a4a7bed-63b9-43d9-a4d2-192bc9163dd1

Gharavi, Leila (2023): Hybridization Toolbox for Model Predictive Control. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/2a4a7bed-63b9-43d9-a4d2-192bc9163dd1.v1

Software

• Mechanical Engineering
• Applied Mathematics
• Interdisciplinary Engineering
• Automotive Engineering
• Engineering
• Mathematical Sciences

Automated Driving, Computational Efficiency, Evasive Maneuvers, Hybrid Control, Hybrid Systems, Hybridization Framework, Max-Min-Plus-Scaling Systems, Model Predictive Control, Vehicle Control

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Leila Gharavi

This toolbox can be used to hybridize any nonlinear function given as its input argument, which can be either a nonlinear prediction model or the nonlinear function expressing the boundary of the feasible region, i.e. the nonlinear constraints.

A grid is generated on the function domain and the toolbox returns the hybridized form of the nonlinear function. The user can select the type and form of approximation based on the problem type:

• For model approximation, the options are

1. selecting the grid type and
2. specifying the number of affine modes in the MMPS formulation.

• For constraint approximation, the options are

1. specifying the number of subregions,
2. selecting between polytopic (MMPS-based) or ellipsoidal approximation, and
3. choosing between boundary-based or region-based approximation.

• 2023-09-21 first online, published, posted

4TU.ResearchData

ZIP file including MATLAB codes

• Control of Evasive Manoeuvres for Automated Driving: Solving the Edge Cases (EVOLVE) (grant code 18484) NWO Open Technology Programme

Delft University of Technology, Faculty Mechanical, Maritime and Materials Engineering (3ME), Delft Center for Systems and Control