Multiagent Newton–Raphson Optimization Over Lossy Networks


Multiagent Newton–Raphson Optimization Over Lossy Networks is a scholarly work, published in 2019 in ''IEEE Transactions on Automatic Control''. The main subjects of the publication include Newton's method, Complement, computer science, multi-agent system, wireless sensor network, convex optimization, lossy compression, mathematical optimization, computation, regular polygon, compressed sensing, distributed algorithm, mathematics, Asynchronous communication, bounded function, and algorithm. The authors show via the separation of time scales principle that under mild conditions (i.e., persistency of the agents activation and bounded consecutive communication failures) the proposed algorithm is proved to be locally exponentially stable with respect to the optimal global solution.

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