Yibo Zhang,∗,∗∗ Bin Xu,∗,∗∗ Changle Xiang,∗ Lei Liu,∗ and Tianfu Ai∗,∗∗


  1. [1] H. Duan, L. Xin, Y. Xu, G. Zhao, and S. Chen, Eagle-vision-inspired visual measurementalgorithm for UAV’s autonomous landing, InternationalJournal of Robotics and Automation, 35(2), 2020, 94–100.
  2. [2] X. Ma, W. Dong, and B. Li, Comprehensive fault-tolerantcontrol of leader-follower unmanned aerial vehicles (UAVS)formation, International Journal of Robotics and Automation,34(6), 2019, 695–712.
  3. [3] S. Kim, H. Seo, J. Shin, and H.J. Kim, Cooperative aerialmanipulation using multirotors with multi-dof robotic arms,IEEE/ASME Transactions on Mechatronics, 23(2), 2018,702–713.
  4. [4] E.N. Johnson and M.A. Turbe, Modeling, control, and flighttesting of a small ducted fan aircraft, Journal of GuidanceControl & Dynamics, 29(4), 2006, 769–779.
  5. [5] J. Chen, L. Li, G. Huang, and X. Xiang, Numerical investi-gations of ducted fan aerodynamic performance with tip-jet,Aerospace Science and Technology, 78, 2018, 510–521.
  6. [6] R. Naldi, A. Macchelli, N. Mimmo, and L. Marconi, Robustcontrol of an aerial manipulator interacting with the environ-ment, IFAC-PapersOnLine, 51(13), 2018, 537–542.
  7. [7] C. Xiang, Y. Wang, Y. Ma, and B. Xu, Structured robustcontrol-loop design with input saturations for tandem ductedfan vehicle, IEEE International Conference on UnmannedAircraft Systems, Denver, USA, 2015, 914–919.
  8. [8] H. Han, C. Xiang, B. Xu, and Y. Yu, Experimental andcomputational analysis of microscale shrouded coaxial rotor inhover, IEEE International Conference on Unmanned AircraftSystems, Miami, USA, 2017, 1092–1100.
  9. [9] H. Han, C. Xiang, B. Xu, and Y. Yu, Aerodynamic performanceand analysis of a hovering micro-scale shrouded rotor in confinedenvironment, Advances in Mechanical Engineering, 11(4), 2019,1–21.
  10. [10] B. Kamel, B. Yasmina, B. Laredj, I. Benaoumeur, and A.F.Zoubir, Dynamic modeling, simulation and PID controller ofunmanned aerial vehicle UAV, IEEE Seventh InternationalConference on Innovative Computing Technology, Luton, UK,2017, 64–69.
  11. [11] S. Cao, L. Shen, R. Zhang, H. Yu, and X. Wang, Adaptiveincremental nonlinear dynamic inversion control based onneural network for UAV maneuver, IEEE/ASME InternationalConference on Advanced Intelligent Mechatronics, Hong Kong,China, 2019, 642–647.
  12. [12] J. Xiong and G. Zhang, Discrete-time sliding mode control fora quadrotor UAV, Optik, 127(8), 2016, 3718–3722.
  13. [13] M. Liu, X. Dong, Q. Li, Z. Ren, Model reference adaptivecontrol of a quadrotor UAV based on RBF Neural networks,IEEE CSAA Guidance, Navigation and Control Conference,Xiamen, China, 2018, 1–6.
  14. [14] W. Zhang, Y. Ten, S. Wei, S. Hu, and Z. Yan, Robust H-infinityauxiliary driving heading control for a UUV in low speed mode,International Journal of Robotics and Automation, 34(2), 2019,176–182.
  15. [15] T. Ilker, E. Tatlicioglu, and E. Zergeroglu, Neural networkbased robust control of an aircraft, International Journal ofRobotics and Automation, 35(1), 2020, 13–22.
  16. [16] K. Masuda and K. Uchiyama, Robust control design for quadtilt-wing UAV, Aerospace, 5(1), 2018, 17.
  17. [17] Y. Tao, W. Wang, Y. Qiu, and J. Li, Trajectory trackingcontrol based on adaptive sliding mode for quadrotor UAV,Information and Control, 3, 2018, 3.
  18. [18] S. Akyurek, U. Kaynak, and C. Kasnakoglu, Altitude controlfor small fixed-wing aircraft using H∞ loop-shaping method,IFAC-Papers On Line, 49(9), 2016, 111–116.
  19. [19] C. Yang and Z. Yang, Adaptive command filtered backsteppingtrajectory tracking control of hexarotor UAV, InternationalConference on Applied Mathematics, Modelling and StatisticsApplication, Beijing, China, 2017, 403–409.
  20. [20] A. Nagaty, S. Saeedi, C. Thibault, M. Seto, and H. Li, Controland navigation framework for quadrotor helicopters, Journalof Intelligent & Robotic Systems, 70(1–4), 2013, 1–12.
  21. [21] D. Zhu, M. Mei, and B. Sun, The tracking control of unmannedunderwater vehicles based on model predictive control, Inter-national Journal of Robotics and Automation, 32(4), 2017,351–359.
  22. [22] C. Papachristos, K. Alexis, and A. Tzes, Dual-authority thrust-vectoring of a tri-tiltrotor employing model predictive con-trol, Journal of Intelligent & Robotic Systems, 81(3–4), 2016,471–504.
  23. [23] K. Alexis, C. Papachristos, R. Siegwart, A. Tzes et al., Robustmodel predictive flight control of unmanned rotorcrafts, Journalof Intelligent & Robotic Systems, 81(3–4), 2016, 443–469.
  24. [24] Y. Zhang, C. Xiang, B. Xu, X. Wang, and W. Fan, Com-prehensive nonlinear modeling and attitude control of a noveltandem ducted fan vehicle, IEEE International Conference onAircraft Utility Systems (AUS), Beijing, China, 2016, 50–56.
  25. [25] C. Xiang, X. Wang, Y. Ma, and B. Xu, Practical modelingand comprehensive system identification of a BLDC motor,Mathematical Problems in Engineering, 2015, 2015, 1–11.13
  26. [26] S. Gage, Creating a unified graphical wind turbulence modelfrom multiple specifications, AIAA Modeling and SimulationTechnologies Conference and Exhibit, Austin, TX, 2003, 5529.
  27. [27] J. Doyle, K. Glover, P. Khargonekar, and B. Francis, State-space solutions to standard H2 and H∞ control problems, IEEETransactions on Automatic Control, 34(8), 1989, 831–847.
  28. [28] Y. Nesterov and A. Nemirovskii, Interior-point polynomialalgorithms in convex programming, Siam Review, 36(4), 1994,682–683.
  29. [29] Y.Y. Cao, J. Lam, and Y.X. Sun, Static output feedbackstabilization: An ILMI approach, Automatica, 34(12), 1998,1641–1645.
  30. [30] S. Patra, S. Sen, and G. Ray, Design of static H∞ loopshaping controller in four-block framework using LMI approach,Automatica, 44(8), 2008, 2214–2220.
  31. [31] B.J. Baskett, ADS-33E-PRF Aeronautical design standard,performance specification, handling qualities requirements formilitary rotorcraft, Army Aviation and Missile Command,Redstone ArsenaL, AL, 2000, 1–80.
  32. [32] E.F. Camacho and C.B. Alba, Model predictive control (Berlin,Germany: Springer Science & Business Media, 2013).
  33. [33] D. Xue, Y. Chen, and D. Atherton, Linear feedback con-trol: Analysis and design with MATLAB, (Philadelphia, USA:Society for Industrial and Applied Mathematics, 2007).

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