A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this *** this control scheme,the performance against disturbances,uncertainties,and attenuation is *** ac...
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A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this *** this control scheme,the performance against disturbances,uncertainties,and attenuation is *** active disturbance rejection control(LADRC)is mainly based on an extended state observer(ESO)technology.A fractional integral(FOI)action is combined with the LADRC technique which proposes a hybrid control scheme like *** this FOI action improves the robustness of the standard *** set-point tracking of the proposed FO-LADRC scheme is designed by Bode’s ideal transfer function(BITF)based robust closed-loop concept,an appropriate pole placement *** effectiveness of the proposed FO-LADRC scheme is illustrated through experimental results on the linear flexible joint system(LFJS).The results show the enhancement of the robustness with disturbance ***,a comparative analysis is presented with the results obtained using the integer-order LADRC and FO-LADRC scheme.
Four all zero whitening filters, one-sided and two-sided Wiener and linear prediction filters, are compared on the basis of reduction of input noise power, when the sum of a band-limited white noise and the colored no...
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Four all zero whitening filters, one-sided and two-sided Wiener and linear prediction filters, are compared on the basis of reduction of input noise power, when the sum of a band-limited white noise and the colored noise is the input to a unity gain whitening filter. The colored noise is assumed to be one of the three types: equally spaced, equal power multiple tones, a periodic pulsetrain of random strength, and a random process having a first-order Butterworth spectrum. Based upon this comparison, the two-sided Wiener filter is shown to reduce the greatest noise power, independent of the type of the colored noise.
It is shown how a frequency domain criterion can be used to obtain meaningful bounds on the responses of nonlinear feedback systems. If the system is disturbed by a known input or nonzero initial condition from its st...
Emitter coupled logic (ECL) circuits are being integrated at increasingly higher levels. Simulation tools are required to perform transient simulation of large ECL circuits. Voltage regulator circuits are used in ECL ...
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This article presents a novel modified chuck wagon dinner bell shaped millimeter wave(mm-wave)antenna at 28 *** proposed design has ultra-thin Rogers 5880 substrate with relative permittivity of *** design consists of...
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This article presents a novel modified chuck wagon dinner bell shaped millimeter wave(mm-wave)antenna at 28 *** proposed design has ultra-thin Rogers 5880 substrate with relative permittivity of *** design consists of T shaped resonating elements and two open ended side *** desired 28 GHz frequency response is achieved by careful parametric modeling of the proposed *** maximum achieved single element gain at the desired resonance frequency is 3.45 *** efficiency of the proposed design over the operating band is more than 88%.The impedance bandwidth achieved for−10 dB reference value is nearly 2.9 *** proposed antenna is transformed into four element linear array which increases the gain up to 10.5 *** fabricated prototype is tested for the measured *** is observed that measured results closely match the simulated *** considering its simple structure and focused radiation patterns,the proposed design is well suited for IoT(Internet of Things),mmWave microwave sensing,5G and future RF(Radio Frequency)frontends.
This article presents a prototype implementation of a circuit that can control charge emission from the vertically aligned carbon nanofibers (VACNFs), for use in the implementation of digital electrostatically focused...
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Miniaturized gas chromatography(μGC)systems hold potential for the rapid analysis of volatile organic compounds(VOCs)in an extremely compact and low-power enabled ***,we utilize microfabrication technology to demonst...
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Miniaturized gas chromatography(μGC)systems hold potential for the rapid analysis of volatile organic compounds(VOCs)in an extremely compact and low-power enabled ***,we utilize microfabrication technology to demonstrate the single chip integration of the key components of aμGC system in a two-step planar fabrication *** 1.5×3 cm microfluidic platform includes a sample injection unit,a micromachined semi-packed separation column(μSC)and a micro-helium discharge photoionization detector(μDPID).The sample injection unit consists of a T-shaped channel operated with an equally simple setup involving a single three-way fluidic valve,a micropump for sample loading and a carrier gas supply for subsequent analysis of the *** innovative sample injection technique described herein requires a loading time of only a few seconds and produces sharp and repeatable sample pulses(full width at half maximum of approximately 200 ms)at a carrier gas flow rate that is compatible with efficient chromatographic ***,our comprehensive characterization of the chip reveals that a wide variety of VOCs with boiling points in the range of 110–216℃ can be analyzed in less than 1 min by optimizing the flow and temperature programming ***,the analysis of four VOCs at the concentration level of one part per million in an aqueous sample(which corresponds to a headspace concentration in the lower parts-per-billion regime)was performed with a sampling time of only 6 *** μDPID has demonstrated a linear dynamic range over three orders of *** system presented here could potentially be used to monitor hazardous VOCs in real time in industrial workplaces and residential settings.
The Bayesian optimization algorithm (BOA) uses Bayesian networks to explore the dependencies between decision variables of an optimization problem in pursuit of both faster speed of convergence and better solution qua...
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ISBN:
(纸本)9781450300728
The Bayesian optimization algorithm (BOA) uses Bayesian networks to explore the dependencies between decision variables of an optimization problem in pursuit of both faster speed of convergence and better solution quality. In this paper, a novel method that learns the structure of Bayesian networks for BOA is proposed. The proposed method, called LIBOA, uses L1-regularized regression to find the candidate parents of each variable, which leads to a sparse but nearly optimized network structure. The proposed method improves the efficiency of the structure learning in BOA due to the reduction and automated control of network complexity introduced with L1-regularized learning. Experimental studies on different types of benchmark problems are carried out, which show that LIBOA outperforms the standard BOA when no a-priori knowledge about the problem structure is available, and nearly achieves the best performance of BOA that applies explicit complexity controls. Copyright 2010 ACM.
Cross-gap light emission is reported in n-type unipolar GaN/AlN double-barrier heterostructure diodes at room *** different designs were grown on semi-insulating bulk GaN substrates using molecular beam epitaxy(MBE).A...
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Cross-gap light emission is reported in n-type unipolar GaN/AlN double-barrier heterostructure diodes at room *** different designs were grown on semi-insulating bulk GaN substrates using molecular beam epitaxy(MBE).All samples displayed a single electroluminescent spectral peak at 360 nm with full-width at half-maximum(FWHM)values no greater than 16 nm and an external quantum efficiency(EQE)of≈0.0074%at 18.8 *** contrast to traditional GaN light emitters,p-type doping and p-contacts are completely avoided,and instead,holes are created in the GaN on the emitter side of the tunneling structure by direct interband(that is,Zener)tunneling from the valence band to the conduction band on the collector *** Zener tunneling is enhanced by the high electric fields(~5×106 V cm^(−1))created by the notably large polarization-induced sheet charge at the interfaces between the AlN and GaN.
The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotica...
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The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotically. In the paper, the stochastic CRB on the DOA estimation accuracy is studied in the general case of an arbitrary unknown noise field parameterised by a vector of unknowns. Explicit closed-form expressions for the CRB are derived and its properties are examined theoretically and by practically relevant numerical examples.
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