PF-MPC: particle filter-model predictive control

DOI10.1016/j.sysconle.2011.05.001zbMath1236.93139OpenAlexW1978879785MaRDI QIDQ411692

Dominik Stahl, Jan Hauth

Publication date: 30 April 2012

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: http://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/2294

zbMATH Keywords

nonlinear systemsinverted pendulummodel predictive controlsequential Monte Carloparticle filterCSTR

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Control of mechanical systems (70Q05) Stochastic systems in control theory (general) (93E03)

Related Items (5)

Robust and nonlinear control literature survey (No. 26) ⋮ Nonlinear stochastic receding horizon control: stability, robustness and Monte Carlo methods for control approximation ⋮ Online control of simulated humanoids using particle belief propagation ⋮ Predictive control of discrete time stochastic nonlinear state space dynamical systems: a particle nonparametric approach ⋮ Optimal control applications and methods literature survey (No. 27)

Uses Software

• R

Cites Work

• Particle predictive control
• A survey of numerical methods for stochastic differential equations
• Model predictive control. With a foreword by M. J. Grimble and M. A. Johnson
• Sequential Monte Carlo Methods in Practice
• Sequential Monte Carlo for Model Predictive Control

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