A homotopy-based moving horizon estimation

DOI10.1080/00207179.2017.1406150zbMath1418.49029OpenAlexW2768263524MaRDI QIDQ4967680

Rien Quirynen, Mark Haring, Boris Rohal'-Ilkiv, Mohammad Abdollahpouri, Gergely Takács, Moritz Diehl, Tor Arne Johansen

Publication date: 3 July 2019

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11250/2472271

zbMATH Keywords

nonlinear systemsmoving horizon estimationnon-convex optimisationnonlinear state and parameter estimation

Mathematics Subject Classification ID

Convex programming (90C25) Nonconvex programming, global optimization (90C26) Dynamic programming in optimal control and differential games (49L20)

Uses Software

• ACADO

Cites Work

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• A convexity-based homotopy method for nonlinear optimization in model predictive control
• Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
• Flatness and defect of non-linear systems: introductory theory and examples
• Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations

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