Analysis and design of delayed neural networks / Xin Wang ... [et al.]

• Pubblicazione: Singapore, : Springer, 2025
• Descrizione fisica: 1 testo elettronico (xxiii, 290 p. : ill.)
• Soggetto topico: 93-XX - Systems theory; control [MSC 2020]; 93B36 - $H^\infty$-control [MSC 2020]; 93B70 - Networked control [MSC 2020]; 93C43 - Delay control/observation systems [MSC 2020]; 93D09 - Robust stability [MSC 2020]; 93D23 - Exponential stability [MSC 2020]
• Soggetto non controllato: Delayed neural networks; Direct Method Based on System Solutions; Distributed Delay; Genetic regulatory networks; Global Exponential Stability; Leakage delay; Multiple time-varying transmission delays; Synchronization controller design
• Persona (resp. second.): Wang, Xin
• Sommario/riassunto: This book provides a direct method based on system solutions to address the problems related to the analysis and control of delayed neural networks. The method proposed in this book is important for the following reasons: It does not involve the construct of any Lyapunov-Krasovskii functional (LKF), which overcomes the difficulty in constructing an appropriate and effective LKF; It can provide more simpler sufficient conditions, and hence it possesses less computational complexity; It can result in delay-dependent global exponential stability criteria that can used to give the decay rate estimation of the state; It is suitable for analysis and design problems of most system models with (multiple) delays after a small modification. The book is divided into 11 chapters, and focuses on the analysis and design problems related to delayed neural networks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference. (Dal sito dell'editore)
• Titolo autorizzato: Analysis and design of delayed neural networks
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00309745
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-981-96-1177-5
• Serie: Intelligent Control and Learning Systems Singapore [etc.] . -Springer , 2022- ; 19