Abstract
We consider a network of autonomous agents, each described by a class of equilibrium-independent passive dynamics. Each agent seeks to minimize a coupled cost function subject to coupled inequality constraints over the output of its dynamics in steady-state. We propose an interior point based method with time-varying penalty function in order to achieve exact convergence to the generalized Nash equilibrium of the game while simultaneously guaranteeing constraint satisfaction for all time. This method is developed in both the full- and partial-information settings. Applications to velocity synchro-nization are provided.
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