04310nam 2200505 450 991076688040332120231213075633.03-031-47835-510.1007/978-3-031-47835-2(CKB)29092386700041(MiAaPQ)EBC30977747(Au-PeEL)EBL30977747(DE-He213)978-3-031-47835-2(EXLCZ)992909238670004120231213d2024 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSynchronization Control of Markovian Complex Neural Networks with Time-Varying Delays /Junyi Wang and Jun FuFirst edition.Cham, Switzerland :Springer,[2024]©20241 online resource (162 pages)Studies in Systems, Decision and Control Series ;Volume 5149783031478345 Includes bibliographical references.Introduction -- Stochastic synchronization of Markovian coupled neural networks with partially unknown transition rates -- Local synchronization of Markovian neutral-type complex networks with partially unknown transition rates -- Local Synchronization of Markovian nonlinearly coupled neural networks with generally uncertain transition rates -- Sampled-data synchronization of complex networks based on discontinuous Lyapunov-Krasovskii functional -- Sampled-data synchronization of Markovian coupled neural networks with time-varying mode delays -- Synchronization criteria of delayed inertial neural networks with generally uncertain transition rates -- Conclusions.This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with partially unknown transition rates and random coupling strengths is investigated. In Chapter 3, the local synchronization issue of Markovian neutral complex networks with partially information of transition rates is investigated. The new delay-dependent synchronization criteria in terms of LMIs are derived, which depends on the upper and lower bounds of the delays. In Chapter 4, the local synchronization issue of Markovian nonlinear coupled neural networks with uncertain and partially unknown transition rates is investigated. The less conservative local synchronization criteria containing the bounds of delay and delay derivative are obtained based on the novel augmented Lyapunov-Krasovskii functional and a new integral inequality. In Chapter 5, the sampled-data synchronization issue of delayed complex networks with aperiodic sampling interval is investigated based on enhanced input delay approach, which makes full use of the upper bound of the variable sampling interval and the sawtooth structure information of varying input delay. In Chapter 6, the sampled-data synchronization issue of Markovian coupled neural networks with mode-dependent interval time-varying delays and aperiodic sampling intervals is investigated based on an enhanced input delay approach. Furthermore, the mode-dependent sampled-data controllers are proposed based on the delay dependent synchronization criteria. In Chapter 7, the synchronization issue of inertial neural networks with time-varying delays and generally Markovian jumping is investigated. In Chapter 8, we conclude the monograph by briefly summarizing the main theoretical findings.Studies in systems, decision and control ;Volume 514.Neural networks (Computer science)SynchronizationNeural networks (Computer science)Synchronization.006.32Wang Junyi1937-1460123Fu JunMiAaPQMiAaPQMiAaPQBOOK9910766880403321Synchronization Control of Markovian Complex Neural Networks with Time-Varying Delays3659809UNINA