Efficient Dual-Type Reference Governor for Model Predictive Control With Vehicle System Applications
Abstract: In this work, a novel dual-type reference governor (DRG) is proposed to handle the unreachable reference within the prediction horizon for the model predictive control (MPC). The proposed ...
Reusable AI application models enable organizations to apply predictive insights across multiple customer scenarios.
Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
New tool leverages proprietary hiring success learning models trained on 150M+ hiring outcomes and proven science ...
Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas operators worldwide, helping them harness the power of operational data to improve ...
Gaussian Process-Based Learning Model Predictive Control With Application to Flywheel Battery System
Abstract: The flywheel battery system is extremely sensitive to its own time-varying nonlinear characteristics and random disturbances in actual operating conditions. The traditional model predictive ...
1 Department of Critical Care Medicine, First Afliated Hospital of Xinjiang Medical University, Urumqi, China 2 Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China Objective: ...
Heart transplantation remains the ultimate treatment option for patients with end stage heart disease, but donor supply remains insufficient, thereby complicating its allocation. Traditional scoring ...
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