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Found 9 papers, 1 papers with code
Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate droop control architecture.
Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control
This paper presents a novel control strategy using nonlinear model predictive controller embedded with a complex droop control architecture for voltage restoration and power sharing in medium voltage DC (MVDC) Naval MGs.
Vulnerability of Building Energy Management against Targeted False Data Injection Attacks:Model Predictive Control vs. Proportional Integral
Cybersecurity in building energy management is crucial for protecting infrastructure, ensuring data integrity, and preventing unauthorized access or manipulation.
Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network
Medium-voltage direct-current (MVDC) ship-board microgrids (SMGs) are the state-of-the-art architecture for onboard power distribution in navy.
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
This paper seeks to tackle the bin packing problem (BPP) through a learning perspective.
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
High throughput genome sequencing technologies such as RNA-Seq and Microarray have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level.
Support Relation Analysis for Objects in Multiple View RGB-D Images
Understanding physical relations between objects, especially their support relations, is crucial for robotic manipulation.
Towards Explainable Inference about Object Motion using Qualitative Reasoning
However, there has been no suitable qualitative theory proposed for object motion in three-dimensional space.
The 2017 AIBIRDS Competition
This paper presents an overview of the sixth AIBIRDS competition, held at the 26th International Joint Conference on Artificial Intelligence.
