{"title":"Dissipativity Analysis and Bumpless Transfer Control for Synchronization of Switched Delayed Neural Networks: A Modified Combined Switching Approach","authors":"Hong Sang;Fang Li;Shuaibing Zhu;Hong Nie;Jun Fu","doi":"10.1109/TSMC.2025.3593877","DOIUrl":null,"url":null,"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> <tex-math>$(\\mathscr {X}_{1}, \\mathscr {X}_{2},\\mathscr {X}_{3})$ </tex-math></inline-formula>-<inline-formula> <tex-math>$\\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.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6913-6924"},"PeriodicalIF":8.7000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11127011/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
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 $(\mathscr {X}_{1}, \mathscr {X}_{2},\mathscr {X}_{3})$ -$\gamma $ 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.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.