[1] [1] LI ZH K,SONG B F,SONG H L. Study on actualities of micro air vehicles and its key technology [J]. Fiight Dynamics, 2003,21(4): 1-4. (in Chinese)

[2] [2] WENG X H,HUANG T P,WU J M, et al.. Research progress and key technologies of mciro air vehicle [J]. Aeronautical Manufacturing Technology, 2005, (2): 98-102. (in Chinese)

[3] [3] CHENG M B, VERICA R, SU W CH. Slding model boundary control of a parabolic PDE system with parameter variations and boundary uncertainties [J]. Automatica, 2011,47(2): 381-387.

[4] [4] LIU X, WANG W. High order sliding mode and its application on the tracking control of piezoelectric systems [J]. Int J Innovative Comput Inform Control, 2008, 4: 697-704.

[5] [5] ZHANG L X,JIA ZH Y,REN X T, et al.. Successive mapping detection of micro EDM discharge state [J]. Opt. Precision Eng., 2010, 18(3): 663-669. (in Chinese)

[6] [6] DUAN H J.Flight Attitude control of MAV [D].Harbin: Harbin Institute of Technology,2007. (in Chinese)

[7] [7] CHEN X J,LI D,BAI Y,et al.. Application of type-II fuzzy neural network to adaptive double axis motion control system [J]. Opt. Precision Eng., 2011,19(8): 1643-1650. (in Chinese)

[8] [8] LI D,CHEN X J,XU ZH J, et al.. Type-II fuzzy neural networks with self-organizing recurrent intervals for dynamic time-varying system identification [J]. Opt. Precision Eng., 2011,19(6): 1406-1413. (in Chinese)

[9] [9] CHEN X J, LI D, XU ZH J, et al.. Robust control of quadrotor MAV using self-organizing interval type-II fuzzy neural networks (SOIT-IIFNNs) controller [J].International Journal of Intelligent Computing and Cybernetics, 2011, 4(3): 397-412.

[10] [10] CHEN X J,LI D,XU ZH J, et al.. Adaptive control of quadrotor MAV using interval type-II fuzzy neural network [J]. Opt. Precision Eng., 2012,20(6): 1334-1341. (in Chinese)

[11] [11] CHEN X J, LI D, BAI Y, et al.. Modeling and Neuro-Fuzzy adaptive attitude control for Eight-Rotor MAV [J]. International Journal of Control, Automation and Systems, 2011, 9(6): 1154-1163.

[12] [12] CHEN X K. Adaptive sliding mode control for discrete-time multi-input multi-output systems [J]. Automatica, 2006, 42(3): 427-435.

[13] [13] HUNG L C, CHUNG H Y. Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems [J]. International Journal of Approximate Reasoning, 2007,46: 74-97.