This paper deals with a network of computing agents aiming to solve an online optimization problem in distributed fashion, i.e., by means local computation and communication, without any central coordinator. We propose the gradient tracking adaptive momentum estimation (GTAdam) algorithm, which combines mechanism first second order estimates gradient. The algorithm is analyzed setting for stron...

In this article, a coalitional robust model predictive controller for tracking target sets is presented. The overall system controlled by set of local control agents that dynamically merge into cooperative coalitions or clusters so as to attain an efficient tradeoff between cooperation burden and global performance optimality. Within each cluster, the coordinate their inputs maximize collective...