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010   $a3-030-55651-4
024 7 $a10.1007/978-3-030-55651-8
035   $a(CKB)4100000011558742
035   $a(MiAaPQ)EBC6382707
035   $a(DE-He213)978-3-030-55651-8
035   $a(EXLCZ)994100000011558742
100   $a20210415d2021      uy             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNonlinear circuits and systems with memristors $eanalogue computing via the flux-charge analysis method /$fFernando Corinto, Mauro Forti and Leon O. Chua
205   $a1st ed. 2021.
210  1$aCham, Switzerland :$cSpringer,$d[2021]
210  4$d©2021
215   $a1 online resource (XXXIII, 438 p. 208 illus., 76 illus. in color.) 
311   $a3-030-55650-6 
327   $aPreface -- Part I preliminary:Brief of Nonlinear Dynamics of RCL Circuits -- Part II Memristor Circuits:Flux?Charge Analysis Method -- Bifurcations without Parameters -- Pulse Programming via Invariant Manifolds -- Extended Class of Memristor Devices -- Complex Dynamics in Arrays of Memristor Oscillators via the Flux?Charge Method -- Memristor Standard Cellular Neural Networks Computing in the Flux-Charge Domain -- Solutions -- References.
330   $aThis book presents a new approach to the study of physical nonlinear circuits and advanced computing architectures with memristor devices. Such a unified approach to memristor theory has never been systematically presented in book form. After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain. This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcations without parameters. The book also describes how arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures. The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis. .
606   $aMemristors
615  0$aMemristors.
676   $a621.38154
700   $aCorinto$b Fernando$01226992
702   $aForti$b Mauro
702   $aChua$b Leon O.$f1936-
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910483769403321
996   $aNonlinear circuits and systems with memristors$92849027
997   $aUNINA