Epidemic population games and evolutionary dynamics

نویسندگان

چکیده

We propose a system theoretic approach to select and stabilize the endemic equilibrium of an SIRS epidemic model in which decisions population strategically interacting agents determine transmission rate. Specifically, population’s recurrently revise their choices out set strategies that impact varying levels A payoff vector quantifying incentives provided by planner for each strategy, after deducting strategies’ intrinsic costs, influences revision process. An evolutionary dynamics captures preferences process specifying as function rates at agents’ flow toward with higher payoffs. Our main result is dynamic mechanism guaranteed steer variables (via population) smallest infectious fraction, subject cost constraints. use Lyapunov not only establish convergence but also obtain (anytime) upper bound peak size portion.

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ژورنال

عنوان ژورنال: Automatica

سال: 2023

ISSN: ['1873-2836', '0005-1098']

DOI: https://doi.org/10.1016/j.automatica.2023.111016