[HTML][HTML] Analysis and design of model predictive control frameworks for dynamic operation—An overview
This article provides an overview of model predictive control (MPC) frameworks for dynamic
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
operation of nonlinear constrained systems. Dynamic operation is often an integral part of …
Cautious model predictive control using gaussian process regression
Gaussian process (GP) regression has been widely used in supervised machine learning
due to its flexibility and inherent ability to describe uncertainty in function estimation. In the …
due to its flexibility and inherent ability to describe uncertainty in function estimation. In the …
Optimization‐based autonomous racing of 1: 43 scale RC cars
This paper describes autonomous racing of RC race cars based on mathematical
optimization. Using a dynamical model of the vehicle, control inputs are computed by …
optimization. Using a dynamical model of the vehicle, control inputs are computed by …
Model predictive contouring control for time-optimal quadrotor flight
In this article, we tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …
Autonomous drone racing: A survey
Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …
Autonomous vehicular overtaking maneuver: A survey and taxonomy
Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
Model predictive contouring control for collision avoidance in unstructured dynamic environments
This letter presents a method for local motion planning in unstructured environments with
static and moving obstacles, such as humans. Given a reference path and speed, our …
static and moving obstacles, such as humans. Given a reference path and speed, our …
Real-time planning for automated multi-view drone cinematography
We propose a method for automated aerial videography in dynamic and cluttered
environments. An online receding horizon optimization formulation facilitates the planning …
environments. An online receding horizon optimization formulation facilitates the planning …
Receding-horizon reinforcement learning approach for kinodynamic motion planning of autonomous vehicles
X Zhang, Y Jiang, Y Lu, X Xu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Kinodynamic motion planning is critical for autonomous vehicles with high maneuverability
in dynamic environments. However, obtaining near-optimal motion planning solutions with …
in dynamic environments. However, obtaining near-optimal motion planning solutions with …
Cautious nmpc with gaussian process dynamics for autonomous miniature race cars
This paper presents an adaptive high performance control method for autonomous miniature
race cars. Racing dynamics are notoriously hard to model from first principles, which is …
race cars. Racing dynamics are notoriously hard to model from first principles, which is …