References
- Ailon, A., & Arogeti, S. (2015). Closed-form nonlinear tracking controllers for quadrotors with model and input generator uncertainties. Automatica, 54, 317–324. doi: 10.1016/j.automatica.2015.02.020
- Bouabdallah, S., Murrieri, P., & Siegwart, R. (2004). Design and control of an indoor micro quadrotor. In Proceedings of the IEEE international conference on robotics and automation (ICRA) (pp. 4393–4398). New Orleans, LA.
- Casau, P., Sanfelice, R. G., Cunhaa, R., Cabecinhas, D., & Silvestre, C. (2015). Robust global trajectory tracking for a class of underactuated vehicles. Automatica, 58, 90–98. doi: 10.1016/j.automatica.2015.05.011
- Cruz-Zavala, E., & Moreno, J. (2016). Lyapunov functions of continuous and discontinuous differentiators. In Proceedings of the 10th IFAC symposium on nonlinear control systems (pp. 660–665). Monterey, CA.
- Dong, X., Zhou, Y., Ren, Z., & Zhong, Y. (2017). Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying. IEEE Transactions on Industrial Electronics, 64(6), 5014–5024. doi: 10.1109/TIE.2016.2593656
- Du, H., Zhu, W., Wen, G., & Wu, D. (2017). Finite-time formation control for a group of quadrotor aircraft. Aerospace Science and Technology, 69, 609–616. doi: 10.1016/j.ast.2017.07.012
- Fridman, L., Moreno, J. A., Bandyopadhyay, B., Kamal, S., & Chalanga, A. (2016). Continuous nested algorithms: The fifth generation of sliding mode controllers. In X. Yu, & M. O. Efe (Eds.), Recent advances in sliding modes: From control to intelligent mechatronics (Vol. chapter 2, pp. 5–35). Cham: Springer International.
- García-Carrillo, L. R., Dzul, A., Lozano, R., & Pégard, C. (2013). Quad rotorcraft control: Vision-based hovering and navigation. London: Springer-Verlag. ISBN 978-1-4471-4398-7.
- González-Sierra, J., Ríos, H., & Dzul, A. (2017). Leader-follower robust formation control for quad-rotors via continuous sliding-modes. In Proceedings of the international conference on unmanned aircraft systems (pp. 1850–1856). Miami, FL.
- He, L., Sun, X., & Lin, Y. (2017). Distributed adaptive control for time-varying formation tracking of a class of networked nonlinear systems. International Journal of Control, 90(7), 1319–1326. doi: 10.1080/00207179.2016.1205757
- Jasim, W., & Gu, D. (2017). Robust team formation control for quadrotors. IEEE Transactions on Control Systems Technology, 26(4), 1–8.
- Jia, Z., Yu, J., Mei, Y., Chen, Y., Shen, Y., & Ai, X. (2017). Integral backstepping sliding mode control for quadrotor helicopter under external uncertain disturbances. Aerospace Science and Technology, 68, 299–307. doi: 10.1016/j.ast.2017.05.022
- Kabiri, M., Atrianfar, H., & Menhaj, M. B. (2018). Formation control of vtol uav vehicles under switching-directed interaction topologies with disturbance rejection. International Journal of Control, 91(1), 33–44. doi: 10.1080/00207179.2016.1266518
- Kamal, S., Moreno, J. A., Chalanga, A., Bandyopadhyay, B., & Fridman, L. (2016). Continuous terminal sliding-mode controller. Automatica, 69, 308–314. doi: 10.1016/j.automatica.2016.02.001
- Khalil, H. (2002). Nonlinear systems. Upper Saddle River, NJ: Prentice Hall.
- Levant, A. (1993). Sliding order and sliding accuracy in sliding mode control. International Journal of Control, 58, 1247–1263. doi: 10.1080/00207179308923053
- Levant, A. (1998). Robust exact differentiation via sliding mode technique. Automatica, 34, 379–384. doi: 10.1016/S0005-1098(97)00209-4
- Levant, A. (2003). High-order sliding modes: Differentiation and output-feedback control. International Journal of Control, 76(9), 924–941. doi: 10.1080/0020717031000099029
- Mahony, R., Kumar, V., & Corke, P. (2012). Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor. IEEE Robotics and Automation Magazine, 19, 20–32. doi: 10.1109/MRA.2012.2206474
- Michael, N., Mellinger, D., Lindsey, Q., & Kumar, V. (2010). The grasp multiple micro-UAV test bed. IEEE Robotics and Automation Magazine, 17, 56–65. doi: 10.1109/MRA.2010.937855
- Moreno, J. (2012). Lyapunov approach for analysis and design of second order sliding mode algorithms. In L. Fridman, J. Moreno, & R. Iriarte (Eds.), Sliding modes after the first decade of the 21st century (chapter 4, pp. 113–149). Berlin: Springer Verlag. Volume 412 of Lecture notes in control and information science.
- Oh, K.-K., Park, M.-C., & Ahn, H.-S. (2015). A survey of multi-agent formation control. Automatica, 53, 424–440. doi: 10.1016/j.automatica.2014.10.022
- Polyakov, A. (2012). Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Transactions on Automatic Control, 57(8), 2106–2110. doi: 10.1109/TAC.2011.2179869
- Ren, W., & Beard, R. (2008). Distributed consensus in multi-vehicle cooperative control. London: Springer-Verlag London Limited.
- Ríos, H., González-Sierra, J., & Dzul, A. (2017). Robust tracking output-control for a quad-rotor: A continuous sliding-mode approach. Journal of the Franklin Institute, 354(15), 6672–6691. doi: 10.1016/j.jfranklin.2017.08.024
- Rosaldo-Serrano, M. A., Santiaguillo-Salinas, J., & Aranda-Bricaire, E. (2016). Observer-based time-varying backstepping control for a quadrotor multi-agent system. In Proceedings of the international conference on unmanned aircraft systems (pp. 1324–1332). Miami, Fl.
- Sun, Z., Anderson, B. D. O., Deghat, M., & Ahn, H.-S. (2017). Rigid formation control of double-integrator systems. International Journal of Control, 90(7), 1403–1419. doi: 10.1080/00207179.2016.1207100
- Torres-González, V., Sanchez, T., Fridman, L. M., & Moreno, J. A. (2017). Design of continuous twisting algorithm. Automatica, 80, 119–126. doi: 10.1016/j.automatica.2017.02.035
- Valavanis, K. (2011). Unmanned aerial vehicles. Amsterdam: Springer Netherlands. ISBN 978-94-007-1109-9.
- Xie, W., Ma, B., Fernando, T., & Iu, H. H.-C. (2017). A new formation control of multiple underactuated surface vessels. International Journal of Control., doi: 10.1080/00207179.2017.1303849
- Zhao, B., Xian, B., Zhang, Y., & Zhang, X. (2015). Nonlinear robust adaptive tracking control of a quadrotor uav via immersion and invariance methodology. IEEE Transactions on Industrial Electronics, 62(5), 2891–2902. doi: 10.1109/TIE.2014.2364982