Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...
Abstract: This article proposes an adjustable-error neural network (NN) approximator and incorporates it into the adaptive neural tracking controller design of ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
An immense solution space that confounds QC and AI Modern cryptography assumes that mathematical expressions and ...
Abstract: This letter addresses the problem of data-driven control design for systems with partially known dynamics. We first present a generalized data-driven LPV algorithm capable of tracking ...
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