Model predictive control with random batch methods for a guiding problem

DOI10.1142/S0218202521500329zbMath1476.49038arXiv2004.14834MaRDI QIDQ5164243

Dongnam Ko, Enrique Zuazua

Publication date: 10 November 2021

Published in: Mathematical Models and Methods in Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.14834

zbMATH Keywords

model predictive controlagent-based modelsrandom batch methodlarge scale complex systemsguiding problem

Mathematics Subject Classification ID

Numerical methods involving duality (49M29) Approximation methods and heuristics in mathematical programming (90C59) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (8)

Random Batch Methods for Classical and Quantum Interacting Particle Systems and Statistical Samplings ⋮ A framework for randomized time-splitting in linear-quadratic optimal control ⋮ Random-batch method for multi-species stochastic interacting particle systems ⋮ On the Random Batch Method for Second Order Interacting Particle Systems ⋮ Optimal control of nonlocal continuity equations: numerical solution ⋮ Convergence toward equilibrium of the first-order consensus model with random batch interactions ⋮ Uniform-in-time error estimate of the random batch method for the Cucker–Smale model ⋮ On the mean field limit of the random batch method for interacting particle systems

Uses Software

• CasADi

Cites Work

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