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
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)