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This work explores the role of cycles in consensus seeking networks for analysis and synthesis purposes. Cycles are critical for many reasons including improving the convergence rate of the system, resilience to link failures, and the overall performance of the system. The focus of this work examines how cycles impact the H 2 performance of consensus(More)
LIDAR (Light detection and ranging) systems are able to provide preview information of wind disturbances at various distances in front of wind turbines. This information can be used to improve the control of wind turbines. This paper compares a predictive feedforward control structure combined with common PI controllers to a baseline controller and to an H(More)
The goal of this paper is to introduce a compositional modeling framework for the energy management of a smart grid that operates connected to the main grid. The focus is on the cooling of a district network composed of multiple buildings that possibly share resources such as storages, chillers, combined heat and power units, and renewable power generators.(More)
BACKGROUND AND AIMS There still is a lack of prospective studies on bone mineral development in patients with a history of early onset Anorexia nervosa (AN). Therefore we assessed associations between bone mass accrual and clinical outcomes in a former clinical sample. In addition to an expected influence of regular physical activity and hormone replacement(More)
— This work considers the role that cycles play in consensus networks. We show how the presence of cycles improve the H2 performance of the consensus network. In particular, we provide an explicit combinatorial characterization relating the length of cycles to the improvement in the performance of the network. This analysis points to a general trade-off(More)
With its electrically tunable light absorption and ultrafast photoresponse, graphene is a promising candidate for high-speed chip-integrated photonics. The generation mechanisms of photosignals in graphene photodetectors have been studied extensively in the past years. However, the knowledge about efficient light conversion at graphene p-n junctions has not(More)