Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.
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