Exponential synchronization of complex networks via feedback control and periodically intermittent noise
X He, H Zhang - Journal of the Franklin Institute, 2022 - Elsevier
In complex networks, asymptotic properties play an important role in modeling, analysis and
design in both aspects of theory and practice. In this paper, our focus is on exponential …
design in both aspects of theory and practice. In this paper, our focus is on exponential …
Stochastic synchronization of complex networks via aperiodically intermittent noise
This paper focuses on exponential synchronization of complex networks controlled by
aperiodically intermittent noise with time delays. An aperiodically intermittent controller is …
aperiodically intermittent noise with time delays. An aperiodically intermittent controller is …
Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances
This paper presents new theoretical results on the multi-periodicity of recurrent neural
networks with time delays evoked by periodic inputs under stochastic disturbances and state …
networks with time delays evoked by periodic inputs under stochastic disturbances and state …
Asymptotic Stability in Distribution of Highly Nonlinear Stochastic Differential Equations with G-Brownian Motion
Following the analysis on the stability in distribution of stochastic differential equations
discussed in Fei et al.(Appl Math Lett 136: 108448, 2023), this article further investigates the …
discussed in Fei et al.(Appl Math Lett 136: 108448, 2023), this article further investigates the …
Synchronized stationary distribution of stochastic multi-group models with dispersal
Y Liu, A Liu, W Li - Neural Computing and Applications, 2020 - Springer
This paper is concerned with a new stationary distribution named synchronized stationary
distribution. It is the first time to apply such kind of distribution to stochastic multi-group …
distribution. It is the first time to apply such kind of distribution to stochastic multi-group …
Improved stabilization results for Markovian switching CVNNs with partly unknown transition rates
Q Li, J Liang - Neural Processing Letters, 2020 - Springer
In this paper, stochastic stability and stabilization problems are investigated for the
Markovian switching complex-valued neural networks with mixed delays, where the …
Markovian switching complex-valued neural networks with mixed delays, where the …
In-distribution stability analysis for neural Markovian jump systems: A delay-feedback control method
X Li - 2023 IEEE 12th Data Driven Control and Learning …, 2023 - ieeexplore.ieee.org
In this paper, a new idea of in-distribution stability is analyzed for a class of neural
Markovian jump systems with non-differential time-delays and type disturbance. To achieve …
Markovian jump systems with non-differential time-delays and type disturbance. To achieve …
Almost sure exponential stabilization of neural networks by aperiodically intermittent control based on delay observations
X He, L Liu, L Feng - Advances in Difference Equations, 2019 - Springer
This paper is concerned with almost sure exponential stabilization of neural networks by
intermittent control based on delay observations. By the stochastic comparison principle and …
intermittent control based on delay observations. By the stochastic comparison principle and …