Approximate optimal influence over an agent through an uncertain interaction dynamic

نویسندگان

چکیده

An approximate optimal indirect regulation problem is considered for two nonlinear uncertain agents. influencing agent tasked with optimally intercepting and directing a roaming to goal location. The not directly controlled by the agent, but instead moves based on some interaction dynamic. To overcome this challenge, virtual controller designed yield desired influence agent. In addition, an dynamic programming (ADP) strategy used develop solution control using computationally efficient function approximation method. Because system uncertainties are in both agents, data-based parameter identification method called integral concurrent learning (ICL) identify dynamics. A Lyapunov-based stability analysis performed which proves closed-loop pursuing systems uniformly ultimately bounded (UUB). Simulation experimental results provided demonstrate performance of developed

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ژورنال

عنوان ژورنال: Automatica

سال: 2021

ISSN: ['1873-2836', '0005-1098']

DOI: https://doi.org/10.1016/j.automatica.2021.109913