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PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems

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Publication:5000779
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DOI10.1002/oca.2566zbMath1467.93094OpenAlexW3000452236MaRDI QIDQ5000779

Petr Listov, Colin N. Jones

Publication date: 15 July 2021

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.2566


zbMATH Keywords

optimal controlChebyshev polynomialsnonlinear model predictive controlpseudospectral collocation


Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Model predictive control (93B45) Computational methods for problems pertaining to systems and control theory (93-08)


Related Items (3)

\texttt{acados} -- a modular open-source framework for fast embedded optimal control ⋮ Stochastic optimal control for autonomous driving applications via polynomial chaos expansions ⋮ PolyMPC


Uses Software

  • Matlab
  • SNOPT
  • DIRCOL
  • CppAD
  • qpOASES
  • GPOPS
  • CasADi
  • ROS



This page was built for publication: PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems

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