Exponential input-to-state stability of recurrent neural networks with multiple time-varying delays
暂无分享,去创建一个
[1] A. Michel,et al. Exponential stability and trajectory bounds of neural networks under structural variations , 1990, 29th IEEE Conference on Decision and Control.
[2] Choon Ki Ahn. An error passivation approach to filtering for switched neural networks with noise disturbance , 2010, Neural Computing and Applications.
[3] Kiyotoshi Matsuoka,et al. Stability conditions for nonlinear continuous neural networks with asymmetric connection weights , 1992, Neural Networks.
[4] Yiguang Hong,et al. Stabilization of impulsive hybrid systems using quantized input and output feedback , 2012 .
[5] Sabri Arik,et al. Global stability analysis of neural networks with multiple time varying delays , 2005, IEEE Transactions on Automatic Control.
[6] Choon Ki Ahn,et al. Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay , 2010, Inf. Sci..
[7] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[8] Choon Ki Ahn,et al. Some new results on stability of Takagi-Sugeno fuzzy Hopfield neural networks , 2011, Fuzzy Sets Syst..
[9] Gang Feng,et al. Delay-Dependent $H_{\infty}$ and Generalized $H_{2}$ Filtering for Delayed Neural Networks , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.
[10] David Angeli,et al. A characterization of integral input-to-state stability , 2000, IEEE Trans. Autom. Control..
[11] Zhong-Ping Jiang,et al. Finite-Time Input-to-State Stability and Applications to Finite-Time Control Design , 2010, SIAM J. Control. Optim..
[12] Wei Feng,et al. New stability criteria for uncertain neural networks with interval time-varying delays , 2008, Cognitive Neurodynamics.
[13] Choon Ki Ahn. Linear Matrix Inequality Optimization Approach to Exponential Robust Filtering for Switched Hopfield Neural Networks , 2012, J. Optim. Theory Appl..
[14] Eduardo Sontag,et al. On characterizations of the input-to-state stability property , 1995 .
[15] Huaguang Zhang,et al. Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays , 2008, IEEE Transactions on Neural Networks.
[16] C. Ahn. Switched exponential state estimation of neural networks based on passivity theory , 2012 .
[17] J. Hopfield,et al. Computing with neural circuits: a model. , 1986, Science.
[18] Zhichun Yang,et al. Input-to-state stability of impulsive hybrid systems with stochastic effects , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).
[19] C. Ahn. Robust stability of recurrent neural networks with ISS learning algorithm , 2011 .
[20] C. Ahn. An ℋ∞ approach to stability analysis of switched Hopfield neural networks with time-delay , 2010 .
[21] Choon Ki Ahn,et al. ℒ2–ℒ∞ nonlinear system identification via recurrent neural networks , 2010 .
[22] Yaonan Wang,et al. Robust stability analysis of delayed Takagi-Sugeno fuzzy Hopfield neural networks with discontinuous activation functions , 2010, Cognitive Neurodynamics.
[23] S. Arik. Stability analysis of delayed neural networks , 2000 .
[24] Chuandong Li,et al. Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[25] Charles R. Johnson,et al. Topics in Matrix Analysis , 1991 .
[26] Eduardo Sontag. Smooth stabilization implies coprime factorization , 1989, IEEE Transactions on Automatic Control.
[27] E. Sánchez,et al. Input-to-state stability (ISS) analysis for dynamic neural networks , 1999 .
[28] Song Zhu,et al. Two algebraic criteria for input-to-state stability of recurrent neural networks with time-varying delays , 2013, Neural Computing and Applications.
[29] A. N. Michel,et al. Exponential stability and trajectory bounds of neural networks under structural variations , 1991 .
[30] Jinde Cao,et al. Robust State Estimation for Neural Networks With Discontinuous Activations , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[31] Zhong-Ping Jiang,et al. Input-to-state stability for discrete-time nonlinear systems , 1999 .
[32] Eduardo Sontag. Further facts about input to state stabilization , 1990 .