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- [1] A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking 2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2017, : 6648 - 6653
- [2] Distributed robust tracking control for multiple unmanned aerial vehicles:theory and experimental verification Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (07): : 2093 - 2103
- [3] A Distributed Deep Learning Approach for A Team of Unmanned Aerial Vehicles for Wildfire Tracking and Coverage 2022 SIXTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING, IRC, 2022, : 312 - 319
- [4] Adaptive target tracking control for multiple unmanned aerial vehicles Kongzhi yu Juece/Control and Decision, 2019, 34 (12): : 2661 - 2666
- [6] A cooperative control framework of multiple unmanned aerial vehicles for dynamic oil spill cleanup Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021, 43
- [7] Learning-based Wildfire Tracking with Unmanned Aerial Vehicles 2022 AMERICAN CONTROL CONFERENCE, ACC, 2022, : 3212 - 3217
- [8] Distributed Tracking of Unmanned Aerial Vehicles with Switching Interactions 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1, 2016, : 46 - 49
- [9] Towards Proactive Decentralized Adaptation of Unmanned Aerial Vehicles for Wildfire Tracking PROCEEDINGS OF THE 2024 IEEE/ACM 19TH SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS, SEAMS 2024, 2024, : 56 - 62