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We present a fast distributed gradient method for a convex optimization problem with linear inequalities, with a particular focus on the network utility maximization (NUM) problem. Most existing works in the literature use (sub)gradient methods for solving the dual of this problem which can be implemented in a distributed manner. However, these (sub)gradient methods suffer from an ...
In this paper a fault tolerant control strategy is proposed for a consensus network where some nodes can inject unexpected values as a consequence of a temporary fault. In the eventual presence of a non-collaborating node, system evolution is corrected by the action of a monitoring node. Such fault counteraction is based on an autoregressive elaboration of local data only. A perfect compensation of...
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