Low-complexity digital architecture for solving the point location problem in explicit model predictive control

DOI10.1016/j.jfranklin.2015.03.018zbMath1395.93367OpenAlexW1989651417MaRDI QIDQ1660471

Edoardo Ragusa, Alberto Oliveri, Marco Storace, Christian Gianoglio

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.03.018

zbMATH Keywords

point location problemexplicit model predictive controllow-complexity digital architecture

Mathematics Subject Classification ID

Uses Software

• MPT
• MOBY-DIC

Cites Work

• Unnamed Item
• Using hash tables to manage the time-storage complexity in a point location problem: application to explicit model predictive control
• Model predictive control: Theory and practice - a survey
• Evaluation of piecewise affine control via binary search tree
• Region configurations for realizability of lattice piecewise-linear models.
• FPGA Implementations of Piecewise Affine Functions Based on Multi-Resolution Hyperrectangular Partitions
• Hybrid Systems: Computation and Control
• Hybrid Systems: Computation and Control
• The explicit linear quadratic regulator for constrained systems

This page was built for publication: Low-complexity digital architecture for solving the point location problem in explicit model predictive control