Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach

This investigation mainly focuses on the dissipativity analysis and bumpless transfer synchronization issue for switched delayed neural networks (SDNNs). To effectively leverage the past information of system states, a modified combined switching approach is creatively established, which offers a less conservative framework for the dissipativity analysis of SDNNs. By constructing a new time-dependent multiple Lyapunov–Krasovskii functional (TDMLF), sufficient conditions are then developed to ensure the strict <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(\mathscr {X}_{1}, \mathscr {X}_{2},\mathscr {X}_{3})$ </tex-math></inline-formula>-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> dissipativity for the considered SDNNs, even in cases where all subnetworks are nondissipative. Subsequently, the proposed approach is implemented for the synchronization of SDNNs, where a bumpless transfer proportional-integral-like (PI-like) control approach is first adopted. In addition, the corresponding criterion is also proposed, which guarantees that the resultant closed-loop synchronization error systems (SESs) not only satisfy strict dissipativity but also achieve a certain bumpless transfer performance (BTP). Ultimately, the practicability and superiority of the proposed design approach are thoroughly substantiated through two simulation examples.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-08-15
DOI
https://doi.org/10.1109/tsmc.2025.3593877
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach

1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Geochemistry and Geologic Mapping
2.48
article

Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach

article en
1 citations

Abstract

This investigation mainly focuses on the dissipativity analysis and bumpless transfer synchronization issue for switched delayed neural networks (SDNNs). To effectively leverage the past information of system states, a modified combined switching approach is creatively established, which offers a less conservative framework for the dissipativity analysis of SDNNs. By constructing a new time-dependent multiple Lyapunov–Krasovskii functional (TDMLF), sufficient conditions are then developed to ensure the strict <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(\mathscr {X}_{1}, \mathscr {X}_{2},\mathscr {X}_{3})$ </tex-math></inline-formula>-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> dissipativity for the considered SDNNs, even in cases where all subnetworks are nondissipative. Subsequently, the proposed approach is implemented for the synchronization of SDNNs, where a bumpless transfer proportional-integral-like (PI-like) control approach is first adopted. In addition, the corresponding criterion is also proposed, which guarantees that the resultant closed-loop synchronization error systems (SESs) not only satisfy strict dissipativity but also achieve a certain bumpless transfer performance (BTP). Ultimately, the practicability and superiority of the proposed design approach are thoroughly substantiated through two simulation examples.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(10)
Liaoning Shihua University (CN), Hunan Normal University (CN), Dalian Maritime University (CN), Northeastern University (CN)
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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