Quadcopter geometry x vs h2/14/2024 ![]() Vaddi, S.: “Efficient object detection model for real-time UAV applications”, Doctoral dissertation, Iowa State University, (2019).Īl Hassan, L.: Knowledge Transfer for Business Continuity & Disaster Recovery. and Cremers, D.: “Collision avoidance for quadrotors with a monocular camera”, Experimental Robotics, Springer, pp. Nugent Jr., T.a.K.J.: Laser power beaming for defense and security applications. Lu, Z., Nagata, F., Watanabe, K., Habib, M.: iOS application for quadrotor remote control. 1–17 (2019)Ĭhao, H., Cao, Y., Chen, Y.: Autopilots for small unmanned aerial vehicles: A survey. Kashino, Z., Nejat, G., Benhabib, B.: Aerial Wilderness Search and Rescue with Ground Support. Hoffmann, G., Huang, H., Waslander, S., Tomlin, C.: Precision flight control for a multi-vehicle quadrotor helicopter testbed. Karabacak, M., Eskikurt, H.: Design, modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM. Mian, A., Daobo, W.: Modeling and backstepping-based nonlinear control strategy for a 6 DOF quadrotor helicopter. In: Proceedings of the 45th IEEE Conference on Decision and Control, pp. and Benallegue, A.: Control of a quadrotor mini-helicopter via full state backstepping technique. and Benallegue, A.: “Backstepping control for a quadrotor helicopter”, In: IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. Hoffmann, G., Jang, J.S., Tomlin, C.J.: Multi-Agent X4-Flyer Testbed Control Design: Integral Sliding Mode vs. ![]() Zulu, A., John, S.: A Review of Control Algorithms for Autonomous Quadrotors. Zheng, E., Xiong, J., Luo, J.: Second order sliding mode control for a quadrotor UAV. 4, 6, 2 (2015)Įfe, M.: “Robust low altitude behavior control of a quadrotor rotorcraft through sliding modes. 4, 36–41 (2013)Įverett, M.F.: LQR with Integral Feedback on a Parrot Minidrone. Hajiyev, C., Vural, S.Y.: LQR Controller with Kalman Estimator Applied to UAV Longitudinal Dynamics. Khatoon, S., Gupta, D., Das, L.K.: PID & LQR control for a quadrotor: Modeling and simulation. In: 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), pp. and Lincheng, S.: A new feedback linearization LQR control for attitude of quadrotor. In: 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI), pp. and Mora-Camino, F: Adaptive sliding mode control for quadrotor attitude stabilization and altitude tracking. Salih, A., Moghavvemi, M., Mohamed, H., Gaeid, K.: Flight PID controller design for a UAV quadrotor. and Lian W.: “Analysis and design the controller for quadrotors based on PID control method”, in 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) IEEE, (2018, May). and Coşgun, M.: “Pi pd pid controllers,” Middle East Technical University Electrical & Electronics Engineering, (2013). Hassanalian, M., Abdelkefi, A.: Classifications, applications, and design challenges of drones. 30(3), 230–246 (2014)ĭos Santos, S., Barros R., Nascimento C.L., Givigi S.N.: Design of attitude and path tracking controllers for quad-rotor robots using reinforcement learning. Clarke, R.: Understanding the drone epidemic.
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