Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.
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