Abstract: This article principally presents the adaptive fuzzy dynamic event-triggered output-feedback consensus tracking control problem for constrained nonlinear multiagent systems encountering ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
Learn how convexity adjustments in bonds affect interest rates and prices using key formulas. Understand their importance in accurately predicting bond price changes.
Modern careers can progress in all directions, with lateral moves, internal mobility and upskilling redefining how workers ...
Abstract: This paper proposes a waveform design technique for dual-function radar-communication (DFRC) systems that employ hybrid linear-nonlinear precoding (HLNP). The HLNP signal is a superposition ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex ...
This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...
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