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Discretized Distributed Optimization over Dynamic Digraphs
This work, particularly, is an improvement over existing stochastic-weight undirected networks in case of link removal or packet drops.
H2 Model Order Reduction: A Relative Error Setting
In dynamical system theory, the process of obtaining a reduced-order approximation of the high-order model is called model order reduction.
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