Exact(1)
In distributed approaches, the problem is how local agents with a limited view should coordinate each other to achieve a global optimization objective.
Similar(59)
The growing interest in modular and distributed approaches for the design and control of intelligent manufacturing systems gives rise to new challenges.
Distributed approaches, in turn, have also sub-categories: Distributed (Flat) Controller Designs, Hierarchical Controller Designs, and Hybrid Designs.
The distributed approaches in [43, 64] are used to redistribute the load across the cluster as well consolidate VMs.
We experimentally compare DS-CGS with other distributed approaches in Section 5 where we also investigate the properties of DS-CGS from many different viewpoints.
In contrast to existing distributed approaches, the DS-CGS algorithm computes the approximations of all elements of the new orthonormal basis simultaneously and as the algorithm proceeds, the values at all nodes are refined iteratively, approximating the exact values of Q and R. Therefore, it can deliver an estimate of the full matrix result at any moment of the computation.
In spite of their benefits, many distributed approaches must make approximations in order to operate with either complete or partial independence from a central controller, leading to varying levels of sub-optimality.
Unlike other distributed approaches described in the literature, the wireless communication constraints are considered in the design of the control algorithm.
The works in [13, 18] are centralized approaches, while those in [3, 4, 14, 16, 19] are distributed approaches.
Existing works on TC in WMNs generally can be classified to centralized and distributed approaches [16].
Non-linear kernel methods can be defined in a distributed approach.
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