Abstract: This article presents an efficient method for solving the optimal tracking control policy of unmanned surface vehicles (USVs) using a hybrid adaptive dynamic programming (ADP) approach. This ...
MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...
As a young girl, Si-Hui Tan, PhD ’10, started studying science almost as a challenge. “I grew up in Singapore, where science is considered a boy thing,” she says. “I wanted to prove that I could do it ...
Abstract: This article investigates the leader-follower consensus for nonlinear multiagent systems (MASs) and proposes an adaptive dynamic programming (ADP)-based hierarchical Stackelberg-Nash optimal ...
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