Abstract: A novel formulation of model predictive control (MPC) coupled with Koopman operator theory is presented and tested for the trajectory tracking problem of a quadrotor UAV. The analytical ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

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1 Country State Grid Fujian Electric Power Co., Ltd., Fuzhou, China 2 Putian Electric Power Supply Company of State Grid Fujian Electric Power Co., Ltd., Putian, China Conventional model-based ...

Abstract: This article presents a deep learning-based model predictive control (MPC) algorithm for control affine nonlinear discrete-time systems with matched and bounded state-dependent uncertainties ...

A Python-based demonstration of Model Predictive Path Integral (MPPI) control for navigating a simple 2D car model around multiple circular obstacles.

LB Beistad is a writer and musician based in Nashville, TN. Her love of gaming began with her cousin introducing her to Banjo Kazooie and Jak and Daxter. It was love at first play. Since then, she has ...