Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses

Zhao, Ningning; Qiao, Yuanhua

doi:10.1007/s12559-023-10221-9

Cogn Comput

2023

DOI: 10.1007/s12559-023-10221-9

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Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses

Ningning Zhao,

Yuanhua Qiao

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Cited by 3 publications

References 36 publications

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Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters

Meng,

Fei,

2024

Cogn Comput

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Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters

Meng,

Fei,

2024

Cogn Comput

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An aperiodically intermittent control for finite-time and fixed-time synchronization of stochastic FCNN with switching parameters

Ayyappan,

Mani

2025

Communications in Nonlinear Science and Numerical Simulation

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Almost periodic solutions for Clifford-valued stochastic shunting inhibitory cellular neural networks with mixed delays

Shao,

2024

MATH

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<abstract><p>We adopted a non decomposition method to study the existence and stability of Stepanov almost periodic solutions in the distribution sense of stochastic shunting inhibitory cellular neural networks (SICNNs) with mixed time delays. Due to the lack of linear structure in the set composed of Stepanov almost periodic stochastic processes in the distribution sense. Due to the lack of linear structure in the set composed of distributed Stepanov periodic stochastic processes, it poses difficulties for the existence of Stepanov almost periodic solutions in the distribution sense of SICNNs. To overcome this difficulty, we first proved that the network under consideration has a unique solution in a space composed of $ \mathcal{L}^p $ bounded and $ \mathcal{L}^p $ uniformly continuous stochastic processes. Then, using stochastic analysis, inequality techniques, and the definition of Stepanov almost periodic stochastic processes in the distribution sense, we proved that this solution is also a Stepanov almost periodic solution in the distribution sense. Moreover, the result of the global exponential stability of this almost periodic solution is given. It is worth noting that even if the network under consideration degenerated into a real-valued network, our results are novel. Finally, we provided a numerical example to validate our theoretical findings.</p></abstract>

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Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses

Cited by 3 publications

References 36 publications

Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters

Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters

An aperiodically intermittent control for finite-time and fixed-time synchronization of stochastic FCNN with switching parameters

Almost periodic solutions for Clifford-valued stochastic shunting inhibitory cellular neural networks with mixed delays

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