Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning

• Main Author: Ahmed Abo Mosali, Najm Addin Mohammed
• Format: Thesis
• Language: English; English; English
• Published: 2022
• Subjects: TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• Online Access: http://eprints.uthm.edu.my/8452/1/24p%20NAJM%20ADDIN%20MOHAMMED%20AHMED%20ABO%20MOSALI.pdf; http://eprints.uthm.edu.my/8452/2/NAJM%20ADDIN%20MOHAMMED%20AHMED%20ABO%20MOSALI%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/8452/3/NAJM%20ADDIN%20MOHAMMED%20AHMED%20ABO%20MOSALI%20WATERMARK.pdf; http://eprints.uthm.edu.my/8452/

Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It requires handling a high level of nonlinearity and dynamics device. The aim is to enable accurate target tracking by UAV with responding to the dynamic generated by the target such as sudden trajectory change...