Abstract
We consider a fully distributed constrained convex optimization problem over a multi-agent network. We discuss an asynchronous gossip-based random projection (GRP) algorithm that solves the distributed problem using only local communication and computation. We analyze its error bound for a constant stepsize and provide simulation results on a distributed robust model predictive control problem.
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