Index Catalog // Arch : Northwestern University Institutional Repository

Start Over

Filtering by: Keyword Aerial Systems: Mechanics and Control Keyword Proximal Policy Optimization Keyword Reinforcement Learning Subject Proximal Policy Optimization

1 entry found

List Gallery Masonry Slideshow

Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

Description:

Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...

Keyword:

Intelligent Systems, Reinforcement Learning, Quadcopters, Learning and Adaptive Systemsons, Aerial Systems: Mechanics and Control, Proximal Policy Optimization, Drones, and Attitude Control

Subject:

Space vehicles--Attitude control systems, Proximal Policy Optimization, Reinforcement learning, Policy Gradient, Drone aircraft, and Machine learning

Creator:

Stephen Kleppinger,

Contributor:

Bharadwaj, Shreenidhi (advisor)

Owner:

Stephen Michael Kleppinger

Publisher:

Northwestern University

Language:

English

Date Uploaded:

04/05/2022

Date Modified:

04/05/2022

Date Created:

12-2021

Resource Type:

Masters Thesis

LIBRARIES | ARCH

Limit your search

Type

Resource type

Creator

Contributor

Keyword

Subject

Language

Publisher

Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

Limit your search

Search Constraints

Search Results