Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence

Fuente: arXiv
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Main Author: Faisal, Adil
Format: Preprint
Published: 2025
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author Faisal, Adil
author_facet Faisal, Adil
contents This paper demonstrates the first application of feedback linearization to replicator dynamics, driving the evolution of non-convergent evolutionary games to systems with guaranteed global asymptotic stability.
format Preprint
id arxiv_https___arxiv_org_abs_2508_12583
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence
Faisal, Adil
Systems and Control
Computer Science and Game Theory
Multiagent Systems
Dynamical Systems
This paper demonstrates the first application of feedback linearization to replicator dynamics, driving the evolution of non-convergent evolutionary games to systems with guaranteed global asymptotic stability.
title Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence
topic Systems and Control
Computer Science and Game Theory
Multiagent Systems
Dynamical Systems
url https://arxiv.org/abs/2508.12583