Journal of Applied Mathematics
- J. Appl. Math.
- Volume 2013, Special Issue (2013), Article ID 452653, 12 pages.
Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control
An adaptive neural network dynamic inversion with prescribed performance method is proposed for aircraft flight control. The aircraft nonlinear attitude angle model is analyzed. And we propose a new attitude angle controller design method based on prescribed performance which describes the convergence rate and overshoot of the tracking error. Then the model error is compensated by the adaptive neural network. Subsequently, the system stability is analyzed in detail. Finally, the proposed method is applied to the aircraft attitude tracking control system. The nonlinear simulation demonstrates that this method can guarantee the stability and tracking performance in the transient and steady behavior.
J. Appl. Math., Volume 2013, Special Issue (2013), Article ID 452653, 12 pages.
First available in Project Euclid: 14 March 2014
Permanent link to this document
Digital Object Identifier
Zentralblatt MATH identifier
Gai, Wendong; Wang, Honglun; Zhang, Jing; Li, Yuxia. Adaptive Neural Network Dynamic Inversion with Prescribed Performance for Aircraft Flight Control. J. Appl. Math. 2013, Special Issue (2013), Article ID 452653, 12 pages. doi:10.1155/2013/452653. https://projecteuclid.org/euclid.jam/1394806107