Application of spice to model nonlinear devices and circuits from behavioural description

1993 ◽  
Vol 29 (6) ◽  
pp. 548 ◽  
Author(s):  
D.C. Patel
Keyword(s):  
Behavioural Description ◽  
Nonlinear Devices

IS SENSITIVE DEPENDENCE ON INITIAL CONDITIONS NATURE’S SENSORY DEVICE?

1992 ◽  
Vol 02 (01) ◽  
pp. 193-199 ◽  
Author(s):  
RAY BROWN ◽  
LEON CHUA ◽  
BECKY POPP
Keyword(s):  
Initial Conditions ◽  
Sensory Perception ◽  
Sensory Features ◽  
Sensitive Dependence ◽  
Nonlinear Devices

In this letter we illustrate three methods of using nonlinear devices as sensors. We show that the sensory features of these devices is a result of sensitive dependence on parameters which we show is equivalent to sensitive dependence on initial conditions. As a result, we conjecture that sensitive dependence on initial conditions is nature’s sensory device in cases where remarkable feats of sensory perception are seen.

scholarly journals Tunable Coupled-Resonator-Induced Transparency in a Photonic Crystal System Based on a Multilayer-Insulator Graphene Stack

Materials ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2042 ◽  
Author(s):  
Hanqing Liu ◽  
Jianfeng Tan ◽  
Peiguo Liu ◽  
Li-an Bian ◽  
Song Zha
Keyword(s):  
Photonic Crystal ◽  
Optical Sensors ◽  
Chemical Potential ◽  
Structural Parameters ◽  
Multilayer Graphene ◽  
Crystal System ◽  
Chemical Potentials ◽  
Nonlinear Devices ◽  
Induced Transparency ◽  
Coupled Resonator

We achieve the effective modulation of coupled-resonator-induced transparency (CRIT) in a photonic crystal system which consists of photonic crystal waveguide (PCW), defect cavities, and a multilayer graphene-insulator stack (MGIS). Simulation results show that the wavelength of transparency window can be effectively tuned through varying the chemical potential of graphene in MGIS. The peak value of the CRIT effect is closely related to the structural parameters of our proposed system. Tunable Multipeak CRIT is also realized in the four-resonator-coupled photonic crystal system by modulating the chemical potentials of MGISs in different cavity units. This system paves a novel way toward multichannel-selective filters, optical sensors, and nonlinear devices.

Doped photonic bandgap fibers for short-wavelength nonlinear devices

2003 ◽  
Vol 28 (10) ◽  
pp. 783 ◽  
Author(s):  
Jesper Lægsgaard ◽  
Anders Bjarklev
Keyword(s):  
Short Wavelength ◽  
Photonic Bandgap ◽  
Photonic Bandgap Fibers ◽  
Nonlinear Devices

Analysis of Nonlinear Dielectric Characteristics of (Ba, Sr)TiO3 Thin Films and their Frequency Conversion Application

2008 ◽  
Vol 388 ◽  
pp. 183-186 ◽  
Author(s):  
Takashi Nishida ◽  
Takashi Nozaka ◽  
Takuya Tsuchikawa ◽  
Masahiro Echizen ◽  
Hiroaki Takeda ◽  
...  
Keyword(s):  
Thin Films ◽  
Equivalent Circuit ◽  
Frequency Conversion ◽  
Equivalent Circuit Model ◽  
Input Power ◽  
Frequency Multiplier ◽  
Nonlinear Dielectric ◽  
Frequency Converters ◽  
Nonlinear Properties ◽  
Nonlinear Devices

(Ba,Sr)TiO3 (BST) thin films have been investigated because of significant interest in device applications of their nonlinear dielectric properties such as in frequency tunable devices. We have investigated frequency conversion devices using BST films as new nonlinear devices, such as frequency mixers and multipliers. In this paper, we report the evaluation of nonlinear properties of various capacitors, and the experimental equation of the properties and the equivalent circuit model for frequency converters were established. A frequency multiplier using the BST film capacitor was fabricated, and obvious third harmonic signals could be observed. A conversion efficiency of -20 dB was obtained with a low input power of 0.25 W. Analysis of the converter with an equivalent circuit was also carried out, and the calculated output voltage agreed well with the measured result. The model is expected to be used for the analysis and improvement of conversion devices.

scholarly journals In-Band OSNR Measurement Method for All-Optical Regenerators in Optical Domain

2019 ◽  
Vol 9 (24) ◽  
pp. 5438
Author(s):  
Feng Wan ◽  
Baojian Wu ◽  
Feng Wen ◽  
Kun Qiu
Keyword(s):  
Measurement Method ◽  
Signal To Noise Ratio ◽  
Optical Signal ◽  
Error Vector Magnitude ◽  
Regeneration System ◽  
Data Rates ◽  
All Optical ◽  
Communication Links ◽  
Shift Keying ◽  
Nonlinear Devices

We propose an in-band measurement method of optical signal-to-noise ratio (OSNR) output from an all-optical regeneration system with a nonlinear power transfer function (PTF) according to the fact that there are different average gains of signal and noise. For the all-optical quadrature phase-shift keying (QPSK) regenerator as an example, the output OSNR is derived from the input OSNR and the total gain of the degraded QPSK signal. Our simulation shows that the OSNR results obtained by this method are in agreement with those calculated from the error vector magnitude (EVM) formula. The method presented here has good applicability for different data rates but is also useful for analyzing the OSNR degradation of other nonlinear devices in optical communication links.

A DIVIDE-AND-CONQUER STRATEGY FOR QUALITATIVE SIMULATION AND FUZZY IDENTIFICATION OF COMPLEX DYNAMICAL SYSTEMS

2011 ◽  
Vol 19 (03) ◽  
pp. 423-452 ◽  
Author(s):  
RAFFAELLA GUGLIELMANN ◽  
LILIANA IRONI
Keyword(s):  
Scale Up ◽  
Fuzzy Rule ◽  
Qualitative Reasoning ◽  
Divide And Conquer ◽  
Rule Base ◽  
Qualitative Simulation ◽  
Biological Domain ◽  
Large Systems ◽  
Behavioural Description

Fuzzy systems properly integrated with Qualitative Reasoning approaches yield a hybrid identification method, called FS-QM, that outperforms traditional data-driven approaches in terms of robustness, interpretability and efficiency in both rich and poor data contexts. This results from the embedment of the entire system dynamics predicted by the simulation of its qualitative model, represented by fuzzy-rules, into the fuzzy system. However, the intrinsic limitation of qualitative simulation to scale up to complex and large systems significantly reduces its efficient applicability to real-world problems. The novelty of this paper deals with a divide-and-conquer approach that aims at making qualitative simulation tractable and the derived behavioural description comprehensible and exhaustive, and consequently usable to perform system identification. The partition of the complete model into smaller ones prevents the generation of a complete temporal ordering of all unrelated events, that is one of the major causes of intractable branching in qualitative simulation. The set of generated behaviours is drastically but beneficially reduced as it still captures the entire range of possible dynamical distinctions. Thus, the properties of the correspondent fuzzy-rule base, that guarantee robustness and interpretability of the identified model, are preserved. The strategy we propose is discussed through a case study from the biological domain.

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