As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...
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