Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30321
Title: Pinning Synchronization for Stochastic Complex Networks with Randomly Occurring Nonlinearities: Tackling Bit Rate Constraints and Allocations
Authors: Guo, Y
Wang, Z
Li, J-Y
Xu, Y
Keywords: bit rate constraint;pinning control;randomly occurring nonlinearities;stochastic complex networks;synchronization
Issue Date: 9-Oct-2024
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Guo, Y. et al. (2024) 'Pinning Synchronization for Stochastic Complex Networks with Randomly Occurring Nonlinearities: Tackling Bit Rate Constraints and Allocations', IEEE Transactions on Cybernetics, 54 (12), pp. 7248 - 7260. doi: 10.1109/TCYB.2024.3470648.
Abstract: In this article, the ultimately bounded synchronization problem is investigated for a class of discrete-time stochastic complex networks under the pinning control strategy. Communication between system nodes and the remote controller is facilitated via wireless networks subject to bit rate constraints. The system model is distinguished by the inclusion of randomly occurring nonlinearities. A coding-decoding transmission mechanism under constrained bit rates is introduced to characterize the digital transmission process. To achieve synchronization of the network nodes with the unforced target node, a pinning controller is specifically devised based on the information from partially selected nodes. Through the application of the stochastic analysis method, a sufficient condition is derived for ensuring the mean-square boundedness of the synchronization error system. In addition, an optimization algorithm is introduced to address bit rate allocation and the design of desired controller gains. Within the presented theoretical framework, the correlation between the mean-square synchronization performance and bit rate allocation is further elucidated. To conclude, a simulation example is provided to substantiate the efficacy of the recommended pinning control approach.
URI: https://bura.brunel.ac.uk/handle/2438/30321
DOI: https://doi.org/10.1109/TCYB.2024.3470648
ISSN: 2168-2267
Other Identifiers: ORCiD: Yuru Guo https://orcid.org/0000-0001-6608-2190
ORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401
ORCiD: Jun-Yi Li https://orcid.org/0000-0001-7830-490X
ORCiD: Yong Xu https://orcid.org/0000-0001-7830-490X
Appears in Collections:Dept of Computer Science Research Papers

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