[1] 魏青铜,陈谋,吴庆宪. 输入饱和与姿态受限的四旋翼无人机反步姿态控制[J]. 控制理论与应用,2015, 32(10):1361-1369. Wei Q T, Chen M, Wu Q X. Backstepping-based attitude control for a quadrotor UAV with input saturation and attitude constraints[J]. Control theory & applications, 2015, 32(10):1361-1369. (in Chinese)
[2] Zhu J C, Liu E D, Guo S, Xu C. A gradient optimization based PID tuning approach on quadrotor[C]//Proceedings of the 27th Chinese Control and Decision Conference. Qingdao, China:IEEE, 2015:1588-1593.
[3] Bouabdallah S, Noth A, Siegwan R. PID vs LQ control techniques applied to an indoor micro quadrotor[C]//Proceedings of 2004 IEEE International Conference on Intelligent Robots and Systems, Sendal, Japan, 2004:2451-2456.
[4] Besnard L, Shtessel Y B, Landrum B. Quadrotor vehicle control via sliding mode controller driven by sliding mode disturbance observer[J]. Journal of the Franklin Institute, 2012, 349(2):725-731.
[5] Li S, Li B K, Geng Q B. Adaptive sliding mode control for quadrotor helicopters[C]//Proceedings of the 33rd Chinese Control Conference, Nanjing, IEEE, 2014:71-76.
[6] 徐亚鹏,苏成利,孙小平. 四旋翼无人机飞行姿态的自适应反演滑模控制[J]. 应用科学学报,2016, 34(3):339-350. Xu Y P, Su C L, Sun X P. Adaptive backstepping sliding mode approach to flight attitude of quadrotor UAVs[J]. Journal of Applied Sciences, 2016, 34(3):339-350. (in Chinese)
[7] Rodiu A D, Stojkoviii I R. Dynamic inversion control of quadrotor with complementary fuzzy logic compensator[C]//Proceedings of 11th Symposium on Neural Network Application in Electrical Engineering, Serbia, 2012:53-58.
[8] Mohd B M A, Husain A R, Danapalasingam K A. Nonlinear control of an autonomous quadrotor unmanned aerial vehicle using backstepping controller optimized by particle swarm optimization[J]. Journal of Engineering Science and Technology Review, 2015, 8(3):39-45.
[9] Dierks T, Jagannathan S. Output feedback control of a quadrotor UAV using neural networks[J]. IEEE Transactions on Neural Networks, 2010, 21(1):50-66.
[10] 韩京清. 从PID技术到"自抗扰控制"技术[J]. 控制工程,2002, 9(3):13-18. Han J Q. From PID technique to active disturbances rejection control technique[J]. Control Engineering of China, 2002, 9(3):13-18. (in Chinese)
[11] 侯忠生. 无模型自适应控制的现状与展望[J]. 控制理论与应用,2006, 23(4):586-591. Hou Z S. On model-free adaptive control:the state of the art and perspective[J]. Control Theory & Applications, 2006, 23(4):586-591. (in Chinese)
[12] Deepak Q, Cheolkeun H. Control of a quadrotor using a smart self-tuning fuzzy PID controller[J]. International Journal of Advances of Robots and Systems, 2013, 10(11):1-9.
[13] Onder E M. Neural network assisted computationally simple PIλDu control of a quadrotor UAV[J]. IEEE Transactions on Industrial Informatics, 2011, 7(2):354-361.
[14] 李砚浓,李汀兰,姜艺,范家璐. 基于RBF神经网络自适应PID四旋翼飞行器控制[J]. 控制工程,2016, 23(3):378-382. Li Y N, Li T L, Jiang Y, Fan J L. Adaptive PID control of quadrotor based on RBF neural network[J]. Control Engineering of China, 2016, 23(3):378-382. (in Chinese)
[15] Moonumca P, Yamamoto Y, Depaiwa N. Adaptive PID for controlling a quadrotor in a virtual outdoor scenario:simulation study[C]//Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, Takamatsu, 2013:1080-1086.
[16] 胡包钢. 非线性PID控制器研究——比例分量的非线性方法[J]. 自动化学报, 2006, 32(2):219-227. Hu B G. A study on nonlinear PID controllers-proportional component approach[J]. Acta Automatica Sinica, 2006, 32(2):219-227. (in Chinese)
[17] 陈龙胜,王琦. 不确定连续系统预设性能非线性PID控制[J]. 应用科学学报,2017, 35(6):786-795. Chen L S, Wang Q. Prescribed performance nonlinear PID control for uncertain continuous systems[J]. Journal of Applied Sciences, 2017, 35(6):786-795. (in Chinese)
[18] Bechlioulis C P, Rovithaki G A. Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance[J]. IEEE Transactions on Automatic Control, 2008, 53:2090-2099.
[19] Baillieul J B, Willems J C. Mathematical control theory[M].[S.l.]:Springer, 2012.