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We consider a distributed optimization problem whereby a network of nodes, , wishes to minimize a common strongly convex function , under the constraint that node controls variable only. The nodes locally update their respective variables and periodically exchange their values with their neighbors...
Combination vaccines have become the preferred choice for immunizing children in high- and middle-income countries. However, these new vaccines are prohibitively expensive for low-income countries, causing them to rely on older, less-expensive vaccines. This product divergence decreases economies of scale for the purchase of vaccines and eliminates the financial incentive for manufacturers to maintain...
In this paper, we presented a new hybrid particle swarm optimization algorithm which is used to design the control unit of an adaptive polarization mode dispersion compensation. Comparing with the conventional particle swarm optimization algorithm, the new algorithm converges to the global optima much faster than the conventional particle swarm optimization algorithm. Experiments show that the new...
In order to get good tracking precision and attenuation of disturbance, a kind of two degree of freedom internal model controller for electro-optical tracking servo system is presented in this paper. By converting the design of the controller to a Hinfin optimization problem, the system can attain good robust performance. Considering the dynamic behavior between sampling time and multi-rate signals...
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