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Journal articles on the topic 'Input differential'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

BRUUN, ERIK. "A differential-input, differential-output current mode operational amplifier." International Journal of Electronics 71, no. 6 (December 1991): 1047–56. http://dx.doi.org/10.1080/00207219108925545.

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2

Glas, G. O., and J. G. Zola. "Input resistances of the single-input active-load differential amplifier." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 41, no. 1 (1994): 60–63. http://dx.doi.org/10.1109/81.260223.

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3

Hess, Robert F., Chang Hong Liu, and Yi-Zhong Wang. "Differential binocular input and local stereopsis." Vision Research 43, no. 22 (October 2003): 2303–13. http://dx.doi.org/10.1016/s0042-6989(03)00406-1.

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4

Redoute, J. M., and M. S. J. Steyaert. "EMI-Resistant CMOS Differential Input Stages." IEEE Transactions on Circuits and Systems I: Regular Papers 57, no. 2 (February 2010): 323–31. http://dx.doi.org/10.1109/tcsi.2009.2023836.

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5

Haigh, D. G., and C. Toumazou. "Tunable differential-input gallium arsenide transconductors." Electronics Letters 27, no. 2 (1991): 151. http://dx.doi.org/10.1049/el:19910098.

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6

TONGPOON, Pravit, Fujihiko MATSUMOTO, Takeshi OHBUCHI, and Hitoshi TAKEUCHI. "A Differential Input/Output Linear MOS Transconductor." IEICE Transactions on Electronics E94-C, no. 6 (2011): 1032–41. http://dx.doi.org/10.1587/transele.e94.c.1032.

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7

Palmisano, G., and S. Pennisi. "CMOS single-input differential-output amplifier cells." IEE Proceedings - Circuits, Devices and Systems 150, no. 3 (2003): 194. http://dx.doi.org/10.1049/ip-cds:20030352.

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8

Hara, K., K. Kojima, K. Mitsunga, and K. Kyuma. "Differential optical switching at subnanowatt input power." IEEE Photonics Technology Letters 1, no. 11 (November 1989): 370–72. http://dx.doi.org/10.1109/68.43382.

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9

Crouch, P. E., F. Lamnabhi-Lagarrigue, and A. J. van der Schaft. "Adjoint and Hamiltonian input-output differential equations." IEEE Transactions on Automatic Control 40, no. 4 (April 1995): 603–15. http://dx.doi.org/10.1109/9.376115.

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10

Takagi, Shigetaka, Nobuo Fujii, and Takeshi Yanagisawa. "High-frequency monolithic differential input/output integrator." Electronics and Communications in Japan (Part II: Electronics) 72, no. 8 (1989): 87–95. http://dx.doi.org/10.1002/ecjb.4420720810.

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11

Schubert, M. "70V-to-5V differential CMOS input interface." Electronics Letters 30, no. 4 (February 17, 1994): 296–97. http://dx.doi.org/10.1049/el:19940235.

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12

Spinelli, Enrique Mario, Marcelo Alejandro Haberman, Federico Nicolas Guerrero, and Pablo Andres Garcia. "A High Input Impedance Single-Ended Input to Balanced Differential Output Amplifier." IEEE Transactions on Instrumentation and Measurement 69, no. 4 (April 2020): 1682–89. http://dx.doi.org/10.1109/tim.2019.2915776.

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13

Kelso and TH Brown. "Differential conditioning of associative synaptic enhancement in hippocampal brain slices." Science 232, no. 4746 (April 4, 1986): 85–87. http://dx.doi.org/10.1126/science.3952501.

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An electrophysiological stimulation paradigm similar to one that produces Pavlovian conditioning was applied to synaptic inputs to pyramidal neurons of hippocampal brain slices. Persistent synaptic enhancement was induced in one of two weak synaptic inputs by pairing high-frequency electrical stimulation of the weak input with stimulation of a third, stronger input to the same region. Forward (temporally overlapping) but not backward (temporally separate) pairings caused this enhancement. Thus hippocampal synapses in vitro can undergo the conditional and selective type of associative modification that could provide the substrate for some of the mnemonic functions in which the hippocampus is thought to participate.

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14

Blajer, Wojciech, Robert Seifried, and Krzysztof Kołodziejczyk. "Diversity of Servo-Constraint Problems for Underactuated Mechanical Systems: A Case Study Illustration." Solid State Phenomena 198 (March 2013): 473–82. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.473.

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Underactuated mechanical systems are systems with fewer control inputs than degrees of freedom. Determination of an input control strategy that forces an underactuated system to complete specified in time outputs (servo-constraints), whose number is equal to the number of inputs, can be a challenging task. Diversity of the servo-constraint problems is discussed here using a simple spring-mass system mounted on a carriage (two degrees of freedom, one control input, and one specified in time output). A formulation of underactuated system dynamics which includes the output coordinates is motivated, with the governing equations arising either as ODEs (ordinary differential equations) or DAEs (differential-algebraic equations). Solutions to the servo-constraint problem are then discussed with reference to so-called non-flat systems (with internal dynamics) and differentially flat systems (no internal dynamics). Some computational issues related to the ODE and DAE formulations are finally discussed, and relevant simulation results for the sample case study are reported.

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15

Rigatos, G., and P. Siano. "Feedback control of the multi-asset Black–Scholes PDE using differential flatness theory." International Journal of Financial Engineering 03, no. 02 (June 2016): 1650008. http://dx.doi.org/10.1142/s2424786316500080.

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A method for feedback control of the multi-asset Black–Scholes PDE is developed. By applying semi-discretization and a finite differences scheme the multi-asset Black–Scholes PDE is transformed into a state-space model consisting of ordinary nonlinear differential equations. For this set of differential equations it is shown that differential flatness properties hold. This enables to solve the associated control problem and to succeed stabilization of the options’ dynamics. It is shown that the previous procedure results into a set of nonlinear ordinary differential equations (ODEs) and to an associated state equations model. For the local subsystems, into which a Black–Scholes PDE is decomposed, it becomes possible to apply boundary-based feedback control. The controller design proceeds by showing that the state-space model of the Black–Scholes PDE stands for a differentially flat system. Next, for each subsystem which is related to a nonlinear ODE, a virtual control input is computed, that can invert the subsystem’s dynamics and can eliminate the subsystem’s tracking error. From the last row of the state-space description, the control input (boundary condition) that is actually applied to the multi-asset Black–Scholes PDE system is found. This control input contains recursively all virtual control inputs which were computed for the individual ODE subsystems associated with the previous rows of the state-space equation. Thus, by tracing the rows of the state-space model backwards, at each iteration of the control algorithm, one can finally obtain the control input that should be applied to the Black–Scholes PDE system so as to assure that all its state variables will converge to the desirable setpoints.

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16

Gupta, Maneesha, Richa Srivastava, and Urvashi Singh. "Low Voltage Floating Gate MOS Transistor Based Differential Voltage Squarer." ISRN Electronics 2014 (February 9, 2014): 1–6. http://dx.doi.org/10.1155/2014/357184.

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This paper presents novel floating gate MOSFET (FGMOS) based differential voltage squarer using FGMOS characteristics in saturation region. The proposed squarer is constructed by a simple FGMOS based squarer and linear differential voltage attenuator. The squarer part of the proposed circuit uses one of the inputs of two-input FGMOS transistor for threshold voltage cancellation so as to implement a perfect squarer function, and the differential voltage attenuator part acts as input stage so as to generate the differential signals. The proposed circuit provides a current output proportional to the square of the difference of two input voltages. The second order effect caused by parasitic capacitance and mobility degradation is discussed. The circuit has advantages such as low supply voltage, low power consumption, and low transistor count. Performance of the circuit is verified at ±0.75 V in TSMC 0.18 μm CMOS, BSIM3, and Level 49 technology by using Cadence Spectre simulator.

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17

Maundy, Brent J., Ahmed S. Elwakil, and Leonid Belostotski. "Automatic Generation of Differential-Input Differential-Output Second-Order Filters Based on a Differential Pair." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no. 6 (June 2020): 1258–71. http://dx.doi.org/10.1109/tcad.2019.2912933.

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18

Yoon, Jae-Hyuk. "Input Balun Design Method for CMOS Differential LNA." Journal of Korean Institute of Electromagnetic Engineering and Science 28, no. 5 (May 2017): 366–72. http://dx.doi.org/10.5515/kjkiees.2017.28.5.366.

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19

LU, X. Y., and D. J. BELL. "Realization theory for differential algebraic input-output systems." IMA Journal of Mathematical Control and Information 10, no. 1 (1993): 33–47. http://dx.doi.org/10.1093/imamci/10.1.33.

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20

Creane, Anthony. "Input Suppliers, Differential Pricing, and Information Sharing Agreements." Journal of Economics & Management Strategy 17, no. 4 (December 2008): 865–93. http://dx.doi.org/10.1111/j.1530-9134.2008.00198.x.

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21

Kuijper, M., and J. M. Schumacher. "Input-output structure of linear differential/algebraic systems." IEEE Transactions on Automatic Control 38, no. 3 (March 1993): 404–14. http://dx.doi.org/10.1109/9.210139.

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22

Payne, A., C. Toumazou, and P. Ryan. "Differential current input cell with common mode feedback." Electronics Letters 26, no. 20 (1990): 1718. http://dx.doi.org/10.1049/el:19901097.

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23

JUMARIE, GUY. "Stochastic differential equations with fractional Brownian motion input." International Journal of Systems Science 24, no. 6 (June 1993): 1113–31. http://dx.doi.org/10.1080/00207729308949547.

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24

Arslan, Emre. "A high performance differential input CMOS current buffer." AEU - International Journal of Electronics and Communications 82 (December 2017): 1–6. http://dx.doi.org/10.1016/j.aeue.2017.07.037.

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25

Suh, Dong Hee, and Charles B. Moss. "Examining the Input and Output Linkages in Agricultural Production Systems." Agriculture 11, no. 1 (January 11, 2021): 54. http://dx.doi.org/10.3390/agriculture11010054.

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This paper conducts a comprehensive analysis of the agricultural sector’s resource allocation and production decisions. This paper uses the differential systems with quasi-fixity to evaluate the complete agricultural production system, which examines the input and output linkages in terms of elasticities. The differential systems are estimated using the maximum likelihood estimation technique based on the two-step profit-maximizing procedure in theory. The results reveal that livestock production requires more intermediate inputs, but crop production depends on all the inputs, such as labor, capital, and intermediate inputs. In addition, the results show that input demand is inelastic, indicating that the agricultural sector has little flexibility in adjusting the demand for inputs in response to changes in input prices. Substitutable relationships among labor, capital, and intermediate inputs exist, which may reduce the pressures on production costs when input prices rise. Regarding the quasi-fixed input, land expansion changes the composition of labor and intermediate inputs, showing that the agricultural sector reduces the intensive margin when it pursues the extensive margin. Furthermore, the results show that agricultural supply is not very responsive to the respective price changes. Along with the inelastic output supply, there exist substitutable relationships between livestock and crop supply, showing that relative price changes can alter output composition in supply. The agricultural sector also reallocates more land areas into crop production rather than livestock production.

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26

Suh, Dong Hee, and Charles B. Moss. "Examining the Input and Output Linkages in Agricultural Production Systems." Agriculture 11, no. 1 (January 11, 2021): 54. http://dx.doi.org/10.3390/agriculture11010054.

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This paper conducts a comprehensive analysis of the agricultural sector’s resource allocation and production decisions. This paper uses the differential systems with quasi-fixity to evaluate the complete agricultural production system, which examines the input and output linkages in terms of elasticities. The differential systems are estimated using the maximum likelihood estimation technique based on the two-step profit-maximizing procedure in theory. The results reveal that livestock production requires more intermediate inputs, but crop production depends on all the inputs, such as labor, capital, and intermediate inputs. In addition, the results show that input demand is inelastic, indicating that the agricultural sector has little flexibility in adjusting the demand for inputs in response to changes in input prices. Substitutable relationships among labor, capital, and intermediate inputs exist, which may reduce the pressures on production costs when input prices rise. Regarding the quasi-fixed input, land expansion changes the composition of labor and intermediate inputs, showing that the agricultural sector reduces the intensive margin when it pursues the extensive margin. Furthermore, the results show that agricultural supply is not very responsive to the respective price changes. Along with the inelastic output supply, there exist substitutable relationships between livestock and crop supply, showing that relative price changes can alter output composition in supply. The agricultural sector also reallocates more land areas into crop production rather than livestock production.

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27

Moss, Charles B., Grigorios Livanis, and Andrew Schmitz. "The Effect of Increased Energy Prices on Agriculture: A Differential Supply Approach." Journal of Agricultural and Applied Economics 42, no. 4 (November 2010): 711–18. http://dx.doi.org/10.1017/s1074070800003904.

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The increase in energy prices between 2004 and 2007 has several potential consequences for aggregate agriculture in the U.S. We estimate the derived input demand elasticities for energy as well as capital, labor, and materials using the differential supply formulation. Given that the derived input demand for energy is inelastic, it is more price-responsive than the other inputs. The results also indicate that the U.S. aggregate agricultural supply function is responsive to energy prices.

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28

Milovanovic, Vladimir, and Horst Zimmermann. "A double-differential-input/differential-output fully complementary and self-biased asynchronous CMOS comparator." Facta universitatis - series: Electronics and Energetics 27, no. 4 (2014): 649–61. http://dx.doi.org/10.2298/fuee1404649m.

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A novel fully complementary and fully differential asynchronous CMOS comparator architecture, that consists of a two-stage preamplifier cascaded with a latch, achieves a sub-100 ps propagation delay for a 50mVpp and higher input signal amplitudes under 1.1V supply and 2.1mWpower consumption. The proposed voltage comparator topology features two differential pairs of inputs (four in total) thus increasing signal-to-noise ratio (SNR) and noise immunity through rejection of the coupled noise components, reduced evenorder harmonic distortion, and doubled output voltage swing. In addition to that, the comparator is truly self-biased via negative feedback loop thereby eliminating the need for a voltage reference and suppressing the influence of process, supply voltage and ambient temperature variations. The described analog comparator prototype occupies 0.001mm2 in a purely digital 40 nm LP (low power) CMOS process technology. All the above mentioned merits make it highly attractive for use as a building block in implementation of the leadingedge system-on-chip (SoC) data transceivers and data converters.

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29

Chen, Dar-Zen, and Kang-Li Yao. "Topological Synthesis of Fractionated Geared Differential Mechanisms." Journal of Mechanical Design 122, no. 4 (November 1, 1998): 472–78. http://dx.doi.org/10.1115/1.1289770.

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An efficient and systematic methodology for the topological synthesis of admissible fractionated geared differential mechanisms is presented. Based on the extension of the 2-dof automotive gear differential, it is shown that a fractionated geared differential mechanism can be decomposed into a main component and an input component. Characteristics of these two components are laid out, and the atlases of admissible input and main components are identified from the existing atlases of non-fractionated geared kinematic chains. With a systematic procedure to choose input and main components and select admissible connecting links, fractionated geared differential mechanisms with three and four input/output links are generated accordingly. [S1050-0472(00)00804-7]

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30

Idzura Yusuf, Siti, Suhaidi Shafie, Hasmayadi Abdul Majid, and Izhal Abdul Halin. "Differential input range driver for SAR ADC measurement setup." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2 (February 1, 2020): 750. http://dx.doi.org/10.11591/ijeecs.v17.i2.pp750-758.

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<span>Differential successive approximation register (SAR) of analog to digital converter (ADC) requires two balancing input signals that have same amplitude with 180⁰ out of phase. Otherwise, it performs inaccurately and degrades the performance during ADC testing procedure. Therefore, an implementation of AD8139 chip single to differential amplifier was chosen as an ADC driver to generate sufficient differential output for the ADC. The chip was placed on a printed circuit board (PCB) to test the functionality as well as the performance of static and dynamic SAR ADC. The result shows that the single-ended input transform into differential voltage outputs. The amplitudes for the amplifier remain equal and is 180° out of phase for DC and AC voltage input signal. Besides, the fabricated 0.18µm CMOS technology of differential 10-bit SAR ADC is capable of digitising full code digital output and perform 9.5-bit effective number of bit (ENOB) from analog input driving by the ADC driver.</span>

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31

Sun, Lei, Qin Yuan Dai, Chuang Chuan Lee, and Gao Shuai Qiao. "The Analysis on the Parasitic Capacitors Effect of the Fully Differential Architecture of SAR ADC." Applied Mechanics and Materials 20-23 (January 2010): 342–45. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.342.

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This paper presents an analysis on the parasitic capacitors effect of the fully differential architecture to provide common-mode rejection. The parasitic capacitors of differential comparator inputs has no effect on the resolution, however, the difference of comparator input parasitic capacitors may has great effect on the resolution. The relationship between the unity capacitor and the parasitic capacitors of the differential comparator inputs is analyzed by giving precise theoretical demonstration. Therefore, a theoretical basis is provided for designers to choose appropriate unity capacitor, process and layout in the design of SAR SAD with fully differential structure.

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32

Wan, Meilin, Zhenzhen Zhang, Wang Liao, Kui Dai, and Xuecheng Zou. "A 2/3 Dual-Modulus Prescaler Using Complementary Clocking NMOS-Like Blocks." Journal of Circuits, Systems and Computers 24, no. 07 (June 17, 2015): 1550109. http://dx.doi.org/10.1142/s0218126615501091.

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A dual-modulus prescaler (divide-by-2/3) using complementary clocking NMOS-like blocks is presented in this paper. The prescaler can work properly for both differential and single phase input clocks. For differential input clocks, the prescaler achieves not only high operating frequency but also low power consumption since it consists of only five NMOS-like blocks. For single phase input clock, the operating frequency range is further expanded by utilizing a complementary clocks generator. Simulation results show that, in 180-nm standard CMOS technology, the proposed prescaler achieves operating frequency range of 1.7–9.0 GHz for differential input clocks and 0.5–10.2 GHz for single phase input clock. And the maximum power consumption from 1.8 V power supply is 0.92 mW and 1.32 mW for differential and single phase input clocks respectively.

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33

Su, Rui. "Numerical simulation and experimental study of novel variable speed and constant frequency wind turbine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 9 (September 25, 2018): 3111–16. http://dx.doi.org/10.1177/0954406218802926.

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The variable speed and constant frequency wind turbine with differential speed regulation consist of wind rotor, speed regulating motor, differential gear train, and synchronous generator. The differential gear train has characteristics of double input and single output. The wind rotor with variable speed work as one input; the output speed of differential gear train is regulated to be stable by speed regulating motor as another input. The constant frequency current is generated by a synchronous generator. The system is simplified into three shafts rigid model for dynamic analysis, and the numerical simulation is made in SIMULINK. The frequency conversion motor is used in the test rig as variable speed input of differential gearbox. Servo motor is adopted to regulate speed. The speed of shaft under different speed input is studied. Modal analysis is carried out to get the resonance frequencies of differential gearbox, and moment inertia of test rig is calculated by software to ensure parameters are consistent with simulation. The principle feasibility of variable speed and constant frequency wind turbine with differential speed regulation is verified by the numerical simulation and experiment.

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34

Luo, Jian Guo, and Jian You Han. "Methods on Mechanism Research Based on Differential Geometry." Advanced Materials Research 179-180 (January 2011): 697–702. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.697.

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Based on the partial derivative of working space function, define the integral field of serial mechanism and parallel mechanism and serial-parallel mechanism respectively, judge conditions of singularityity including dead point and limit point with one and two and three input parameters obtained. Define the coupling degree of each input variable of mechanism use the second-order partial derivative of working space function, decoupling property between input variable identified by judging the coupling degree equal zero or not. Based on the realtionship between working space function and input variables, as well as relationship between input variables and time, three new index to weigh the kinematical properties of mechanism defined, positioning accuracy influence factor and dynamic response influence factor and sensitivity influencefactor included, its physical meaning and computation process presented as well, new direction provided for the research of kinematical properties of mechanism.

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35

Eckert, Nathanial R., Brach Poston, and Zachary A. Riley. "Differential processing of nociceptive input within upper limb muscles." PLOS ONE 13, no. 4 (April 25, 2018): e0196129. http://dx.doi.org/10.1371/journal.pone.0196129.

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36

Toumazou, C., and F. J. Lidgey. "Novel bipolar differential input/output current-controlled current source." Electronics Letters 21, no. 5 (1985): 199. http://dx.doi.org/10.1049/el:19850140.

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37

Pearson, A., and F. Lee. "On the identification of polynomial input-output differential systems." IEEE Transactions on Automatic Control 30, no. 8 (August 1985): 778–82. http://dx.doi.org/10.1109/tac.1985.1104051.

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38

Jennings, Ernie. "Differential Afferent Input To Superficial and Deep Dorsal Horn." NeuroReport 13, no. 7 (May 2002): 929–30. http://dx.doi.org/10.1097/00001756-200205240-00004.

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39

Yang, Fei, Xinbo Ruan, Qing Ji, and Zhihong Ye. "Input Differential-Mode EMI of CRM Boost PFC Converter." IEEE Transactions on Power Electronics 28, no. 3 (March 2013): 1177–88. http://dx.doi.org/10.1109/tpel.2012.2206612.

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40

Maksimov, Vyacheslav. "DYNAMICAL ESTIMATION OF AN INPUT IN NONLINEAR DIFFERENTIAL SYSTEMS." IFAC Proceedings Volumes 35, no. 1 (2002): 199–204. http://dx.doi.org/10.3182/20020721-6-es-1901.00283.

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41

Horng, J. W., C. L. Hou, and C. M. Chang. "Multi-input differential current conveyor, CMOS realisation and application." IET Circuits, Devices & Systems 2, no. 6 (2008): 469. http://dx.doi.org/10.1049/iet-cds:20080224.

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42

Andreev, O. S., V. I. Didenko, V. A. Kalynyuk, and V. M. Kapustin. "Differential measuring amplifier with switched inverting of input signal." Measurement Techniques 28, no. 3 (March 1985): 254–57. http://dx.doi.org/10.1007/bf00861993.

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43

Alraho, Senan, and Andreas König. "Wide input range, fully-differential indirect current feedback instrumentation amplifier for self-x sensory systems / Symmetrischer Instrumentierungsverstärker mit indirekter Stromgegenkopplung und hoher Eingangsignalspanne für integrierte Sensorsysteme mit Self-x-Eigenschaften." tm - Technisches Messen 86, s1 (September 1, 2019): 62–66. http://dx.doi.org/10.1515/teme-2019-0054.

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AbstractThis paper research presents the design of wide input range indirect current feedback-instrumentation amplifier (CFIA). In order to extend the input range without sacrificing the amplifier performance, the negative feedback is applied to the source coupled differential pairs inputs. The feedback network and the biasing current can be programmed to work at different values to meet different signal conditions or to self-correct the drift in the amplifier properties. The simulated input range Vin; P-P=1.6 V with total harmonic distortion of 0.93 % at 5 MHz frequency. Thus the proposed CFIA is very suitable to read the high speed and high common mode range TMR differential voltage sensor signal. The circuit is implemented using the CMOS 0.35 μm technology from Austriamicrosystems (AMS) and by using Cadence Virtuoso design tools.

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44

KUMAR, UMESH. "Nonlinear modelling and analysis of differential input differential output amplifier based canonic RC oscillators." International Journal of Electronics 76, no. 3 (March 1994): 427–36. http://dx.doi.org/10.1080/00207219408925939.

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45

TSUKUTANI, TAKAO, SUMIO TSUIKI, MASARU ISHTDA, and YUTAKA FUKUI. "A novel current-mode active-R biquad using differential-input differential-output operational amplifiers." International Journal of Electronics 79, no. 5 (November 1995): 607–15. http://dx.doi.org/10.1080/00207219508926297.

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46

ZIABAKHSH, SOHEYL, HOSEIN ALAVI-RAD, MORTEZA ALINIA AHANDANI, and MUSTAPHA C. E. YAGOUB. "DESIGN AND OPTIMIZATION OF A FULLY DIFFERENTIAL CMOS VARIABLE-GAIN LNA WITH DIFFERENTIAL EVOLUTION ALGORITHM FOR WLAN APPLICATIONS." Journal of Circuits, Systems and Computers 23, no. 09 (August 25, 2014): 1450124. http://dx.doi.org/10.1142/s0218126614501242.

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In this paper, we optimized the performance of a 2.4 GHz variable gain low-noise amplifier for WLAN applications which provides high dynamic range with relatively low power consumption. First, the differential evolution algorithm was used to optimize the width of input transistors, then the tunable on-chip switching stage method was applied to control the amplifier gain when the input signal increases. The optimization was performed in terms of gain, noise figure (NF), IIP3 and power dissipation. The LNA has achieved a variable gain from 16.55 to 20.45 dB with excellent NF between 1.63 and 1.74 dB. Furthermore, the proposed circuit achieves a third order input intercept point of 6.6 dBm. It consumes only 10 mW from a 1.5 V supply.

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47

Sene, Ndolane, and Gautam Srivastava. "Generalized Mittag-Leffler Input Stability of the Fractional Differential Equations." Symmetry 11, no. 5 (May 1, 2019): 608. http://dx.doi.org/10.3390/sym11050608.

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The behavior of the analytical solutions of the fractional differential equation described by the fractional order derivative operators is the main subject in many stability problems. In this paper, we present a new stability notion of the fractional differential equations with exogenous input. Motivated by the success of the applications of the Mittag-Leffler functions in many areas of science and engineering, we present our work here. Applications of Mittag-Leffler functions in certain areas of physical and applied sciences are also very common. During the last two decades, this class of functions has come into prominence after about nine decades of its discovery by a Swedish Mathematician Mittag-Leffler, due to the vast potential of its applications in solving the problems of physical, biological, engineering, and earth sciences, to name just a few. Moreover, we propose the generalized Mittag-Leffler input stability conditions. The left generalized fractional differential equation has been used to help create this new notion. We investigate in depth here the Lyapunov characterizations of the generalized Mittag-Leffler input stability of the fractional differential equation with input.

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48

West, Guy R., and Ari Gamage. "Differential Multipliers for Tourism in Victoria." Tourism Economics 3, no. 1 (March 1997): 57–68. http://dx.doi.org/10.1177/135481669700300104.

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This study assesses the significance of different types of tourists to Victoria, Australia, by their relative contribution to the economy. Differential impacts are calculated using an input–output model incorporating marginal household coefficients. The analysis demonstrates that the conventional input–output model can overestimate the flow-on effects to value added, income and employment by a significant amount. It finds that domestic tourists are the largest contributor to the State economy, with day-trippers spending the greatest amount. International tourists rank last in terms of economic impacts on the state.

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49

AGUILAR-IBÁÑEZ, CARLOS, MIGUEL SUÁREZ-CASTAÑÓN, and HEBERTT SIRA-RAMÍREZ. "CONTROL OF THE CHUA'S SYSTEM BASED ON A DIFFERENTIAL FLATNESS APPROACH." International Journal of Bifurcation and Chaos 14, no. 03 (March 2004): 1059–69. http://dx.doi.org/10.1142/s0218127404009594.

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In this paper, we present a flatness based control approach for the stabilization and tracking problem, for the well-known Chua chaotic circuit, that includes an additional input. We introduce two feedback controller design options for the set-point stabilization and the trajectory tracking problem: a direct pole placement approach, and Generalized Proportional Integral (GPI) approach based only on measured inputs and outputs.

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50

Halko, Jozef, and Jozef Maščeník. "Differential with an Integrated, Newly - Developed Two-Stage Transfer." Applied Mechanics and Materials 510 (February 2014): 215–19. http://dx.doi.org/10.4028/www.scientific.net/amm.510.215.

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