A new CRISPR-based approach for tuning gene expression up and down allowed identification of how other genes' expression ...
Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Abstract: This article proposes a hierarchical neural learning (HNL) algorithm for optimal tracking control (OTC) of nonlinear strict-feedback systems (SFSs) with unmatched disturbances (uMDs) and ...
Abstract: This paper tackles the consensus tracking control challenge for a category of uncertain nonlinear multi-agent systems subject to unknown time-varying disturbances and output constraints.
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