Advances in Memristors, Memristive Devices and Systems by Sundarapandian Vaidyanathan, Christos Volos

By Sundarapandian Vaidyanathan, Christos Volos

This publication reviews at the most modern advances in and purposes of memristors, memristive units and platforms. It gathers 20 contributed chapters through topic specialists, together with pioneers within the box corresponding to Leon Chua (UC Berkeley, united states) and R.S. Williams (HP Labs, USA), who're really expert within the a number of subject matters addressed during this ebook, and covers vast components of memristors and memristive units equivalent to: memristor emulators, oscillators, chaotic and hyperchaotic memristive platforms, keep watch over of memristive platforms, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic purposes, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor units, behind schedule memristive structures, flux-controlled memristive emulators, and so forth.
Throughout the ebook, distinct emphasis is given to papers delivering sensible strategies and layout, modeling, and implementation insights to deal with present learn difficulties in memristors, memristive units and platforms. As such, it bargains a priceless reference publication on memristors and memristive units for graduate scholars and researchers with a uncomplicated wisdom of electric and regulate structures engineering.

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209V ð48Þ Observe from Figs. e. 50372249 located on the imaginary axis (Re Pi = 0) at the above applied DC voltage. It follows that the corresponding equilibrium ðX1 ðVÞ, X2 ðVÞÞ point is no longer asymptotically stable Fig. 11 a Loci of the Poles from the admittance function Y(s; V). b Loci of the Eigen values from the Jacobian matrix JðX1 , X2 ; VÞ. Arrowheads indicate the movements of poles and the Eigen values in the interval of −20 V ≤ V ≤ 0 V A Simple Oscillator Using Memristor 47 Fig. 11 (continued) at the above parameter value of V, and becomes unstable thereafter.

Sah et al. A Simple Oscillator Using Memristor Fig. Pd. Sah et al. dx2 = f2 ðx1 , x2 , VÞ dt ð46bÞ The Eigen values of the second-order memristor are computed from the Jacobian matrix at the DC equilibrium voltage V obtained by setting the differential Eqs. (46a) and (46b) to zero. Setting dxdt1 = 0 and dxdt2 = 0, and solving for x1 = X1 ðVÞ, x2 = X2 ðVÞ at V, we obtain the following Jacobian matrix at (X1(V), X2(V)): 2 3 ∂f1 ðx1 , x2 ; VÞ ∂f1 ðx1 , x2 ; VÞ 6 7 ∂x1 ∂x2 7 JðX1 , X2 ; VÞ = 6 4 ∂f2 ðx1 , x2 ; VÞ ∂f2 ðx1 , x2 ; VÞ 5 ∂x1 ∂x2 ðx1 = X1 ðVÞ, x2 = X2 ðVÞÞ ð47Þ According to the theory developed by Chua et al.

1305 V the Im p1 and Im p2 become zero. 3 We would like to caution the readers that the DC current Iext is the input in Chua et al. (2012a, b), and the two small-signal equivalent circuits of the potassium ion-channel memristor and the sodium ion-channel memristor in the HH model are connected parallel. Hence, the Eigen values of 1 the Jacobian matrix are identical to the poles of the small-signal impedance Zðs, IÞ≜ VðsÞ IðsÞ = YðsÞ, or equivalently, the zeros of the admittance Y(s). In the 2nd-order memristor case, the input is a DC voltage V and the two small-signal circuit components shown in Fig.

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