Results 1 to 10 of about 271,920 (286)
On the Control of Psychological Networks [PDF]
Psychometrika, 2020 The combination of network theory and network psychometric methods has opened up a variety of new ways to conceptualize and study psychological disorders. The idea of psychological disorders as dynamic systems has sparked interest in developing interventions based on results of network analytic tools.
Henry, Teague +2 more
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Controlling network ensembles [PDF]
Nature Communications, 2021 AbstractThe field of optimal control typically requires the assumption of perfect knowledge of the system one desires to control, which is an unrealistic assumption for biological systems, or networks, typically affected by high levels of uncertainty. Here, we investigate the minimum energy control of network ensembles, which may take one of a number ...
Isaac Klickstein, Francesco Sorrentino
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A New Approach to Modeling Ultrashort Channel Ballistic Nanowire GAA MOSFETs
Nanomaterials, 2022 We propose a numerical compact model for describing the drain current in ballistic mode by using an expression to represent the transmission coefficients for all operating regions.
He Cheng +6 more
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Entropy, 2023 Electromagnetic coils are indispensable components for energy conversion and transformation in various systems across industries. However, electromagnetic coil insulation failure occurs frequently, which can lead to serious consequences.
Yue Sun +6 more
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Drones, 2022 Dyna-Q is a reinforcement learning method widely used in AGV path planning. However, in large complex dynamic environments, due to the sparse reward function of Dyna-Q and the large searching space, this method has the problems of low search efficiency ...
Yiyang Liu +4 more
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A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning
Sensors, 2022 Motion planning is one of the important research topics of robotics. As an improvement of Rapidly exploring Random Tree (RRT), the RRT* motion planning algorithm is widely used because of its asymptotic optimality.
Yiyang Liu +4 more
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Optimal Network Control in Partially-Controllable Networks [PDF]
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019 The effectiveness of many optimal network control algorithms (e.g., BackPressure) relies on the premise that all of the nodes are fully controllable. However, these algorithms may yield poor performance in a partially-controllable network where a subset of nodes are uncontrollable and use some unknown policy.
Liang, Qingkai, Modiano, Eytan H
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Generating Datasets for Real-Time Scheduling on 5G New Radio
Entropy, 2023 A 5G system is an advanced solution for industrial wireless motion control. However, because the scheduling model of 5G new radio (NR) is more complicated than those of other wireless networks, existing real-time scheduling algorithms cannot be used to ...
Xi Jin +3 more
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CONTROLLING NETWORK DYNAMICS [PDF]
Advances in Complex Systems, 2019 Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Aming Li, Yang-Yu Liu
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Controllability, Observability in Networked Control [PDF]
IFAC Proceedings Volumes, 2009 We reconsider and advance the analysis of structural properties (controllability and observability) of a class of linear Networked Control Systems (NCSs). We model the NCS as a periodic system with limited communication where the non updated signals can either be held constant (the zero-order-hold case) or reset to zero.
Longo, S, Herrmann, G, Barber, P
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