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發(fā)表于 2025-3-21 16:26:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
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發(fā)表于 2025-3-21 22:01:58 | 只看該作者
Homogeneous Semantics Preserving Deployments of Heterogeneous Networks of Embedded Systems,is equivalent to taking the limit of this diagram – thus composition is endowed with a universal property. Using this universality, we are able to derive veri.able necessary and sufficient conditions on when composition preserves semantics.
板凳
發(fā)表于 2025-3-22 01:48:14 | 只看該作者
地板
發(fā)表于 2025-3-22 05:06:35 | 只看該作者
Discrete Time Kuramoto Models with Delay, synchronized and balanced equilibrium sets both when delay is not present and when it is. In all cases, agents are assumed to be identical and fully connected, with constant and equal network delays. For complex cases, the analysis is supplemented with Monte Carlo simulations, and all results are demonstrated in simulation.
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發(fā)表于 2025-3-22 11:52:43 | 只看該作者
Applications of Connectivity Graph Processes in Networked Sensing and Control, paper, we not only characterize the reachability properties of these graph processes, but also put them to use in a number of applications, ranging from multi-agent formation control, to optimal collaborative beamforming in sensor networks.
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發(fā)表于 2025-3-22 15:11:42 | 只看該作者
neclab: The Network Embedded Control Lab,ators which communicate with each other over wireless channels. In this paper neclab is introduced and explained using a simple ball and beam control application. We focus on wnecs which use the MICA2 Motes.
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發(fā)表于 2025-3-22 17:54:05 | 只看該作者
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發(fā)表于 2025-3-23 00:53:09 | 只看該作者
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發(fā)表于 2025-3-23 03:44:21 | 只看該作者
Simulation of Large-Scale Networked Control Systems Using GTSNetS,epending on whether the sensing, the controller or the actuator elements of the control loop are distributed or centralized. Our tool allows the simultaneous study of the effects of control and network strategies in a distributed control system.
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發(fā)表于 2025-3-23 08:12:26 | 只看該作者
Plenary Talk: The Role of Information Theory in Communication Constrained Control Systems,ly source coding, channel coding, binning, and coding with side-information techniques to a variety of control with communication problems including settings with non-traditional information patterns, multiple sensors, and multiple agents.
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