Periodic solutions - Globe Thesis

Keyword [Periodic solutions] Result: 1 - 20 \| Page: 1 of 2
1.	The Stability Study Of Several Kinds Of Delay Network Of Neurons
2.	Existence And Exponential Stability Of Periodic Solutions For Two Discrete-Time Neural Networks
3.	Stability Analysis And Feedback Stabilization Of Invariant Sets And Periodic Solutions Of A Class Of Hybrid Dynamical Systems
4.	Dynamics Of Periodic Delayed Planar Neural Networks
5.	Dynamical Behavior Of Hopfield Recurrent Neural Networks With S-type Distributed Delays
6.	Exponential Stability Of Periodic Solutions In Fuzzy Neural Networks
7.	Pendulum-Like System And Coupling Synchronization Based On Pendulum-Like Systme
8.	Existence And Exponential Stability For Discrete Bidirectional Associative Memory Neural Network Model Cycle Solution
9.	Mixed Delays And Neural Network Model Of The Equilibrium Point And The Existence Of Periodic Solutions And Exponential Stability
10.	Variable Time Delay Artificial Neural Network Of Periodic Solutions And Almost Periodic Solutions,
11.	Research On Anti-periodic Solutions Of Delayed Cellular Neural Networks Without Assuming Global Lipschitz Conditions
12.	Multistability For Multidirectional Associative Memory Neural Networks And Its Applications In Multi-pattern Recognition
13.	The Research For Existence Of Periodic Solutions For Neutral-type Neural Networks
14.	The Existence And The Stability Of Almost Periodic Solutions To Cohen-grossberg Neural Networks
15.	Almost Periodic Neutral Coupled With Higher Order Hopfield Neural Networks On The Time Scale Solution
16.	Periodic Solutions And Synchronization Problem Of Memristive Neural Networks
17.	Almost Periodic Solutions And Synchronization Problem Of Memristive Neural Networks
18.	Anti-periodic Synchronization Of Generalized QVGCNNs With Time-varying Delays And Impulsive Effects
19.	Stability and bifurcations of a piecewise-smooth elasto-plastic inverted pendulum model: Towards an understanding of dynamics of buildings under earthquake-type forcing
20.	The Multistability And Impulsive Control For Stable Periodic Solutions Of Hopfield Neural Networks
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