Abstract: A novel Model Predictive Control (MPC) framework called disturbance-learning MPC (DL-MPC) for constrained LTI systems subject to bounded disturbances is proposed. The primary objective is to ...
Building on this milestone, the collaboration embeds AI-driven forecasting directly into frontline biosecurity operations, enabling XWELL teams to collect more samples from more locations by ...
-- VectorCertain introduces MRM-CFS, ultra-compact AI models for improved safety in edge cases. -- Existing AI systems fail on rare events; MRM-CFS offers precise detection and fusion solutions. -- ...
Ferrari has filed a patent describing a predictive control system that anticipates driving conditions and automatically adjusts aerodynamic components. Ferrari patents a predictive aerodynamic control ...
The government shutdown and recent accidents have shown the Air Traffic Control system’s vulnerability. It should be turned into an independent, nonprofit organization removed from politics. The ...
Identify and address the critical questions that consistently impact automation project outcomes across diverse industries like food processing, pharmaceuticals and transportation. Learn technical ...
Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...
Abstract: The unmeasurable gear backlash nonlinearity caused by mechanical wear in multimotor driving systems (MDSs) is inevitable, imposing challenges for the modeling and controller design. As a ...
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