00822nam0-22002891i-450-99000029116040332120001010000029116FED01000029116(Aleph)000029116FED0100002911620001010d--------km-y0itay50------baitay-------001yyWealth from Waste Elimination of Waste a World Problem.By Henry J. Spooner.LondonRoutledge & Sons1918.XVI,316 p., 23 cm628Spooner,Henry J.15619ITUNINARICAUNIMARCBK99000029116040332104 090-1CI 01433DINCHDINCHWealth from Waste Elimination of Waste a World Problem127770UNINAING0104214nam 22007455 450 991025418160332120200704113234.03-662-47484-010.1007/978-3-662-47484-6(CKB)3710000000452061(EBL)3567800(SSID)ssj0001534828(PQKBManifestationID)11819181(PQKBTitleCode)TC0001534828(PQKBWorkID)11498248(PQKB)10644270(DE-He213)978-3-662-47484-6(MiAaPQ)EBC3567800(PPN)187687889(EXLCZ)99371000000045206120150718d2016 u| 0engur|n|---|||||txtccrQualitative Analysis and Control of Complex Neural Networks with Delays /by Zhanshan Wang, Zhenwei Liu, Chengde Zheng1st ed. 2016.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2016.1 online resource (398 p.)Studies in Systems, Decision and Control,2198-4182 ;34Description based upon print version of record.3-662-47483-2 Includes bibliographical references and index. Introduction to Neural Networks -- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning -- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.Studies in Systems, Decision and Control,2198-4182 ;34VibrationDynamicsDynamicsComputational complexityAutomatic controlPower electronicsVibration, Dynamical Systems, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/T15036Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Power Electronics, Electrical Machines and Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24070Vibration.Dynamics.Dynamics.Computational complexity.Automatic control.Power electronics.Vibration, Dynamical Systems, Control.Complexity.Control and Systems Theory.Power Electronics, Electrical Machines and Networks.620Wang Zhanshanauthttp://id.loc.gov/vocabulary/relators/aut762831Liu Zhenweiauthttp://id.loc.gov/vocabulary/relators/autZheng Chengdeauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254181603321Qualitative Analysis and Control of Complex Neural Networks with Delays2538829UNINA