02009nam0 22004333i 450 VAN0023372820240806101333.594N978303038348020211102d2020 |0itac50 baengCH|||| |||||Transient Dynamics of Concentrated Particulate Suspensions Under ShearDoctoral Thesis accepted by the University of Chicago, IL, USAEndao HanChamSpringer2020xvi, 96 p.ill.24 cm001VAN001041932001 Springer thesesrecognizing outstanding Ph.D. research210 BerlinSpringer2010-VAN00233729Transient Dynamics of Concentrated Particulate Suspensions Under Shear193387700A79 (77-XX)Physics [MSC 2020]VANC023182MF76-XXFluid mechanics [MSC 2020]VANC019858MF92ExxChemistry [MSC 2020]VANC025596MFDense SuspensionsKW:KDynamic jammingKW:KFluid- and aerodynamicsKW:KShear jammingKW:KSteady-state rheologyKW:KTransient dynamics of dense suspensionsKW:KUltrasound imaging of suspensionsKW:KWyart-Cates modelKW:KCHChamVANL001889HanEndaoVANV193910866424Springer <editore>VANV108073650ITSOL20241115RICAhttp://doi.org/10.1007/978-3-030-38348-0E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00233728BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 4404 08eMF4404 20211102 Transient Dynamics of Concentrated Particulate Suspensions Under Shear1933877UNICAMPANIA03481nam 22005655 450 991099968610332120251212142403.0981-9611-77-610.1007/978-981-96-1177-5(CKB)38485073200041(DE-He213)978-981-96-1177-5(MiAaPQ)EBC32011964(Au-PeEL)EBL32011964(OCoLC)1515403571(EXLCZ)993848507320004120250416d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAnalysis and Design of Delayed Neural Networks /by Xin Wang, Yu Xue, Xian Zhang, Yantao Wang1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (XXIII, 290 p. 125 illus., 123 illus. in color.)Intelligent Control and Learning Systems,2662-5466 ;19981-9611-76-8 Introduction Backgrounds of NNs -- Global Exponential Stability and Stabilization -- Global Exponential Stability Affected Impulses -- Global Exponential Synchronization -- State Estimation -- Global Exponential Stability and Stabilization -- Lagrangian Global Exponential Stability and Stabilization -- Global Robust Exponential Stability -- H∞ Control -- Global Exponential Synchronization -- Lp Stability.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.Intelligent Control and Learning Systems,2662-5466 ;19Neural networks (Computer science)Mathematical Models of Cognitive Processes and Neural NetworksXarxes neuronals (Informàtica)thubLlibres electrònicsthubNeural networks (Computer science)Mathematical Models of Cognitive Processes and Neural Networks.Xarxes neuronals (Informàtica)Llibres electrònics519Wang Xinauthttp://id.loc.gov/vocabulary/relators/aut847441Xue Yuauthttp://id.loc.gov/vocabulary/relators/autZhang Xianauthttp://id.loc.gov/vocabulary/relators/autWang Yantaoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910999686103321Analysis and Design of Delayed Neural Networks4375904UNINA