Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
The theme for the day is Innovation at Scale, Value that Endures. We spent a lot of time thinking about those 6 words over the last few months. And I hope by the end of the day, they resonate with you ...
Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
Abstract: This article proposes a resilient control framework for securing cyber-physical systems (CPSs), specifically addressing nonlinear descriptor systems operating under communication constraints ...
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
Abstract: This article investigates the practical fixed-time distributed optimization problem (DOP) in nonlinear multiagent networks, where the optimization decision of each agent is subject to global ...
A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...
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