Abstract: In recent years, leveraging data from related machines to learn fault knowledge has emerged as a promising approach to address faulty data scarcity in bearing fault diagnosis, i.e., ...
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 ...
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