中文摘要：

为了探索新型忆感器的特性,提出了一种新的忆感器模型,该模型考虑了内部变量的影响,更符合未来实际忆感器的性能.建立了其等效电路,分析了其特性.利用该忆感器模型,设计了一种忆感器文氏电桥混沌振荡器,分析了系统的稳定性和动力学行为.研究发现,此系统不仅存在周期、拟周期和混沌等多种状态,还发现了一些重要的动力学现象,如恒Lyapunov指数谱、非线性调幅、共存分岔模式和吸引子共存等复杂非线性现象,说明了这些特殊现象的基本机理和潜在应用.最后进行电路实验验证,验证了该振荡器的混沌特性.

英文摘要：

A meminductor is a new type of memory device. It is of importance to study meminductor model and its application in nonlinear circuit prospectively. For this purpose, we present a novel mathematical model of meminductor, which considers the effects of internal state variable and therefore will be more consistent with future actual meminductor device. By using several operational amplifiers, multipliers, capacitors and resistors, the equivalent circuit of the model is designed for exploring its characteristics. This equivalent circuit can be employed to design meminductor-based application circuits as a meminductor emulator. By employing simulation experiment, we investigate the characteristics of this meminductor driven by sinusoidal excitation. The characteristic curves of current-flux（-φ）, voltage-flux（-φ）,-（internal variable of meminductor） and φ- for the meminductor model are given by theoretical analyses and simulations.The curve of current-flux（-φ） is a pinched hysteretic loop passing through the origin. The area bounding each sub-loop deforms as the frequency varies, and with the increase of frequency, the shape of the pinched hysteretic loop tends to be a straight line, indicating a dependence on frequency for the meminductor. Based on the meminductor model, a meminductive Wien-bridge chaotic oscillator is designed and analyzed. Some dynamical properties, including equilibrium points and the stability, bifurcation and Lyapunov exponent of the oscillator, are investigated in detail by theoretical analyses and simulations. By utilizing Lyapunov spectrum, bifurcation diagram and dynamical map, it is found that the system has periodic, quasi-periodic and chaotic states. Furthermore, there exist some complicated nonlinear phenomena for the system, such as constant Lyapunov exponent spectrum and nonlinear amplitude modulation of chaotic signals.Moreover, we also find the nonlinear phenomena of coexisting bifurcation and coexisting attractors, including coexistence of two different chaotic at