A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Abstract: A decentralized linear quadratic system with a major agent and a collection of minor agents is considered. The major agent affects the minor agents, but not vice versa. The state of the ...
Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...
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