Title :
L1 neural network adaptive control for systems with matched and unmatched uncertainties
Author :
Lu, Di ; Fan, Guoliang ; Yi, Jianqiang
Author_Institution :
Integrated Inf. Syst. Res. Center, Inst. of Autom., Beijing, China
Abstract :
This paper designs a new L1 adaptive controller based on neural network technique for a class of nonlinear systems, which not only contain the matched uncertainty but also the unmatched uncertainty. This new controller ensures both the stability of the closed-loop system and the uniform boundedness of its transient performance. Finally, simulations give some illustrations and comparisons.
Keywords :
adaptive control; closed loop systems; neurocontrollers; nonlinear control systems; stability; uncertain systems; L1 neural network adaptive control; closed-loop system; matched uncertainties; neural network technique; nonlinear systems; stability; unmatched uncertainties; Adaptive control; Stability analysis; Transient analysis; Uncertainty; Upper bound; Vehicle dynamics; L1 adaptive control; matched uncertainty; neural network; unmatched uncertainty;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6056977
