会议专题

Adaptive Neural Network Backstepping Design for a Class of Nonlinear Output Feedback Systems

Robust adaptive neural network control and backstepping design are considered. An adaptive neural network controller is established for a uncertain nonlinear output feedback system. The controller regulates the output to a neighborhood of origin by properly choosing design parameters, and keeps all signals of the closed-loop bounded.

LONG Lijun XIE Chengkang

School of Mathematics and System Science Southwest University Chongqing 400715,China

国际会议

The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

深圳

英文

1294-1298

2008-12-10(万方平台首次上网日期,不代表论文的发表时间)