Stochastic Nonlinear Model Predictive Control based on Gaussian Mixture Approximations

DOI10.1007/978-3-540-85640-5_18zbMath1188.93120OpenAlexW1529851211MaRDI QIDQ3564552

Marco F. Huber, Florian Weissel, Uwe D. Hanebeck

Publication date: 2 June 2010

Published in: Informatics in Control, Automation and Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-85640-5_18

zbMATH Keywords

mobile robotGaussian mixturesnoise influence on systems with continuous state spacesstochastic nonlinear model predictive control

Mathematics Subject Classification ID

Related Items (1)

Lyapunov-based model predictive control of stochastic nonlinear systems

Cites Work

• A continuation/GMRES method for fast computation of nonlinear receding horizon control
• Model predictive control. With a foreword by M. J. Grimble and M. A. Johnson
• On approximate approximations using Gaussian kernels
• Path integrals and symmetry breaking for optimal control theory

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