Abstract: This article presents a more robust model predictive direct speed control based on the third-order extended state observer (RMPDSC-TESO) method for surface-mounted permanent magnet ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

Getting into software engineering can seem like a lot, right? There are so many things to figure out, like what languages to ...

Manufacturing is entering a new era where AI interacts directly with the physical world. Through robotics, sensors, ...

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to co… ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...