Title :
Stability analysis of nonlinear singular system with time-varying delay based on neural networks
Author :
Geyang Xiao ; Huaguang Zhang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Propose a new method to analyze the stability of nonlinear singular systems with time-varying delay in state part and nonlinear part in this paper. It is proposed a new type of Lyapunov function to analyze the stability and to present delay-dependent controller. No any term is ignored during the process of analyzing which is different from the general processing method, and it also takes consideration of nonlinear singular systems. A simulation example demonstrates the effectiveness of the proposed method.
Keywords :
Lyapunov methods; delay systems; neurocontrollers; nonlinear control systems; stability; time-varying systems; Lyapunov function; delay-dependent controller; neural network; nonlinear singular system; stability analysis; state part; time-varying delay; Asymptotic stability; Control systems; Delays; Lyapunov methods; Neural networks; Stability analysis; Time-varying systems;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
DOI :
10.1109/ICICIP.2013.6568052