Global asymptotic and robust stability of recurrent neural networks with time delays
By Jinde Cao, Jun Wang. IEEE Trans. Circuits Syst. I Regul. Pap., 2005
505 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/b18796d9ecbc3371bea65b136f77b7d65f129390
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In Artificial Intelligence
In Computer Networks and Communications
Citations in the corpus
- Hopf bifurcation and stability of periodic solutions for van der Pol equation with time delay (2005, background): “Recently, dynamical systems with time delays have been found in neural networks [2–8,11,18,20].”
- Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation (2016, background): “Remark 2: Assumptions 1–4 are all normal assumptions for nonlinear systems which can be found in literatures like [23], [24], [40], [41], [55], and [56].”
- Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation (2015, background): “Assumption 1 [11], [34]: There exists a constant Li such that”
- Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay (2008, background): “Over the last few years, complex networks have received increasing attention from all fields of sciences and humanities [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40].”
- Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (2017, methodology): “Taking the signal quantization into account, we assume that the signals are quantized by the logarithmic quantizer before entering into the desired estimator, where Q[ ] = (Q1[ 1], Q2[ 2], .”