Tracking-Based Distributed Equilibrium Seeking for Aggregative Games
Guido Carnevale,
Filippo Fabiani,
Filiberto Fele
et al.
Abstract:We propose fully-distributed algorithms for Nash equilibrium seeking in aggregative games over networks. We first consider the case where local constraints are present and we design an algorithm combining, for each agent, (i) the projected pseudo-gradient descent and (ii) a tracking mechanism to locally reconstruct the aggregative variable. To handle coupling constraints arising in generalized settings, we propose another distributed algorithm based on (i) a recently emerged augmented primal-dual scheme and (i… Show more
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