Project supported by the National Natural Science Foundation of China (Grant No.60674026);the Jiangsu Provincial Natural Science Foundation of China (Grant No.BK2007016)
In this paper, we have improved delay-dependent stability criteria for recurrent neural networks with a delay varying over a range and Markovian jumping parameters. The criteria improve over some previous ones in that...
Project supported by the National Natural Science Foundation of China (Grant No 60674026);the Natural Science Foundation of Jiangsu Province of China (Grant No BK2007016)
This paper studies delay-dependent asymptotical stability problems for the neural system with time-varying delay. By dividing the whole interval into multiple segments such that each segment has a different Lyapunov m...
Project supported by National Natural Science Foundation of China (Grant No 60674026);the Jiangsu Provincial Natural Science Foundation of China (Grant No BK2007016);Program for Innovative Research Team of Jiangnan University,China
This paper investigates the global synchronization in an array of linearly coupled neural networks with constant and delayed coupling. By a simple combination of adaptive control and linear feedback with the updated l...
Project supported by the National Natural Science Foundation of China (Grant No 60674026);the Key Project of Chinese Ministry of Education (Grant No 107058);the Jiangsu Provincial Natural Science Foundation of China (Grant No BK2007016);the Jiangsu Provincial Program for Postgraduate Scientific Innovative Research of Jiangnan University (Grant No CX07B_116z)and PIRT Jiangnan
This paper focuses on sliding mode control problems for a class of nonlinear neutral systems with time-varying delays. An integral sliding surface is firstly constructed. Then it finds a useful criteria to guarantee t...