Learning control of unmanned aerial vehicles using artificial intelligence-based methods

• Main Author: Sarabakha, Andriy
• Other Authors: Domenico Campolo
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• Online Access: https://hdl.handle.net/10356/143057
• Institution: Nanyang Technological University

In recent years, many research activities have focused on the developments for unmanned aerial vehicles (UAVs) due to their usefulness in providing cost-effective solutions to dangerous, dirty and dull tasks. In many applications, it is crucial for UAVs to be able to fly autonomously in uncertain en...