[[1] G. Strupka, and I. Raņķis, “Investigation of Unmanned Aerial Vehicle Routes to Fulfill Power Line Management Tasks,” in Chen J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2018. Advances in Intelligent Systems and Computing, vol. 784. Springer, Cham., 2019. https://doi.org/10.1007/978-3-319-94346-6_610.1007/978-3-319-94346-6_6]Search in Google Scholar
[[2] N. Bezzo, et al., “Online planning for energy-efficient and disturbance-aware UAV operations,” 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Dec. 2016. https://doi.org/10.1109/IROS.2016.775973810.1109/IROS.2016.7759738]Search in Google Scholar
[[3] J. T. Economou, G. Kladis, and A. Tsourdos, “UAV optimum energy assignment using Dijkstra’s Algorithm,” 2007 European Control Conference (ECC), IEEE Xplore, 26 March 2015. https://doi.org/10.23919/ECC.2007.706835310.23919/ECC.2007.7068353]Search in Google Scholar
[[4] L. Li, J. Wu, Y. Xu, J. Che, and J. Liang, “Energy-controlled optimization algorithm for rechargeable unmanned aerial vehicle network,” 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), Feb. 2018. https://doi.org/10.1109/ICIEA.2017.828304610.1109/ICIEA.2017.8283046]Search in Google Scholar
[[5] H. Ghazzai, M. B. Ghorbel, A. Kassler, and J. Hossain, “Trajectory optimization for cooperative dual-band UAV swarms,” in Proc. IEEE GLOBECOM, Abu Dhabi, UAE, Dec. 2018, pp. 1–7. https://doi.org/10.1109/GLOCOM.2018.864808710.1109/GLOCOM.2018.8648087]Search in Google Scholar
[[6] M. Chen, F. Dai, H. Wang, and L. Lei, “DFM: A distributed flocking model for UAV swarm networks,” IEEE Access, vol. 6, pp. 69141–69150, 2018. https://doi.org/10.1109/ACCESS.2018.288048510.1109/ACCESS.2018.2880485]Search in Google Scholar
[[7] Y. Liu, J. V. Schijndel, S. Longo, and E. C. Kerrigan, “UAV energy extraction with incomplete atmospheric data using MPC,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 2, April 2015, pp. 1203–1215. https://doi.org/10.1109/TAES.2014.13065710.1109/TAES.2014.130657]Search in Google Scholar
[[8] Y. D. Liu, and L. Ziarek, “Toward Energy-Aware Programming for Unmanned Aerial Vehicles,” 2017 IEEE/ACM 3rd International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS), Buenos Aires, 2017, pp. 30–33. https://doi.org/10.1109/SEsCPS.2017.810.1109/SEsCPS.2017.8]Search in Google Scholar
[[9] R.-J. Wai, and A. S. Prasetia, “Adaptive Neural Network Control and Optimal Path Planning of UAV Surveillance System with Energy Consumption Prediction,” in IEEE Access, vol. 7, pp. 126137–126153, 2019. https://doi.org/10.1109/ACCESS.2019.293827310.1109/ACCESS.2019.2938273]Search in Google Scholar
[[10] C. Liu, W. Feng, J. Wang, Y. Chen, and N. Ge, “Aerial Small Cells Using Coordinated Multiple UAVs: An Energy Efficiency Optimization Perspective,” in IEEE Access, vol. 7, pp. 122838–122848, 2019. https://doi.org/10.1109/ACCESS.2019.293825610.1109/ACCESS.2019.2938256]Search in Google Scholar
[[11] F. Morbidi, R. Cano, and D. Lara, “Minimum-energy path generation for a quadrotor UAV,” 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, 2016, pp. 1492–1498. https://doi.org/10.1109/ICRA.2016.748728510.1109/ICRA.2016.7487285]Search in Google Scholar
[[12] S. Spedicato and G. Notarstefano, “Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments,” in IEEE Transactions on Control Systems Technology, vol. 26, no. 4, pp. 1335–1344, July 2018. https://doi.org/10.1109/TCST.2017.270926810.1109/TCST.2017.2709268]Search in Google Scholar
[[13] R. Mahony, V. Kumar and P. Corke, “Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor,” in IEEE Robotics & Automation Magazine, vol. 19, no. 3, pp. 20–32, Sept. 2012. https://doi.org/10.1109/MRA.2012.220647410.1109/MRA.2012.2206474]Search in Google Scholar
[[14] P. Apse-Apsitis, A. Avotins, and R. Porins, “Industrial Greenhouse Electrical Power Monitoring Using Secure Internet-of-Things (IoT) Platform,” 2018 IEEE 6th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2018), pp 1–4. https://doi.org/10.1109/AIEEE.2018.859230710.1109/AIEEE.2018.8592307]Search in Google Scholar