作者:
Bienstock, DanielDvorkin, YuryGuo, ChengMieth, RobertWang, JiayiColumbia University
Department of Industrial Engineering and Operations Research New YorkNY10027 United States Johns Hopkins University
Department of Electrical and Computer Engineering Department of Civil and System Engineering Ralph O'Connor Sustainable Energy Institute BaltimoreMD21218 United States Clemson University
School of Mathematical and Statistical Sciences ClemsonSC29634 United States Rutgers University
Department of Industrial and Systems Engineering New BrunswickNJ08901 United States Stanford University
Department of Management Science and Engineering StanfordCA94305 United States
We propose an enhancement to wholesale electricity markets to contain the exposure of consumers to increasingly large and volatile consumer payments arising as a byproduct of volatile real-time net loads - i.e., loads...
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The proposed two-stage ensemble machine learning model aims to bridge the gap between energy harvesting and vibration sensing applications for lead zirconate titanate (PZT) and similar piezoceramic materials by enabli...
The proposed two-stage ensemble machine learning model aims to bridge the gap between energy harvesting and vibration sensing applications for lead zirconate titanate (PZT) and similar piezoceramic materials by enabling one device to perform both functions simultaneously. Two PZT cantilever configurations were tested: one without a tip mass for maximum linearity at low frequencies and one with a tip mass for maximum energy output. The highest absolute prediction error on the testing set is 19% and 7%, respectively. While the R2 score remained nearly 1, the PZT cantilever with the tip mass showed an 11% lower mean absolute error (MAE) and 38% lower mean squared error (MSE) compared to the PZT without, suggesting that PZT cantilevers in energy harvesting configurations can be used to predict acceleration with acceptable accuracy.
Both thermal and electromagnetic performance of substrate-integrated waveguide (SIW) and microstrip line-fed shaped-beam arrays with slot and patch radiating elements are conducted. Three array types operating at 26 G...
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ISBN:
(数字)9798350369908
ISBN:
(纸本)9798350369915
Both thermal and electromagnetic performance of substrate-integrated waveguide (SIW) and microstrip line-fed shaped-beam arrays with slot and patch radiating elements are conducted. Three array types operating at 26 GHz band, namely SIW slot array, SIW array with patches, and proximity coupled patch array, are considered. The array performances regarding shaped radiation pattern stability with frequency and maximal temperature at the power amplifier chips are discussed. The study highlights intriguing trade-offs between radiation pattern performance and cooling ability in phased arrays.
The high commutation speed of wide band-gap devices causes undesired voltage overshoots and oscillatory behavior observed across the drain-source port. The mitigation of these voltage overshoots and oscillations cause...
The high commutation speed of wide band-gap devices causes undesired voltage overshoots and oscillatory behavior observed across the drain-source port. The mitigation of these voltage overshoots and oscillations caused by the resonant interaction between the commutation loop parasitic inductance and the switch parasitic output capacitance requires additional design considerations. In this work, a Thevenin-based frequency domain approach for modelling the switch voltage overshoot and oscillations with respect to the commutation power loop is proposed. The switching transition and its associated slew rate is modelled using a clamped-ramp function. The two figures of merit used to quantify the effect of the circuit elements in the commutation power loop with respect to the resonant oscillations are the voltage overshoot and time to steady state. Using the clamped-ramp function and the two figures of merit, the effect of the parasitic inductance and the decoupling capacitor on the power loop is analyzed. The trends observed from the analyses are used to obtain recommendations regarding the sizing and placement of the decoupling capacitor in the power loop. The proposed Thevenin-based frequency domain model is experimentally validated by comparing the analytical results with both the LTspice simulations and the experimental waveforms for a SiC-based 400 V, 20 A double pulse test.
The sunflower array topology concept is introduced, for the first time, to the constrained infinitesimal dipole modeling (IDM) technique to increase the computational efficiency and reduce the modeling errors. The con...
The sunflower array topology concept is introduced, for the first time, to the constrained infinitesimal dipole modeling (IDM) technique to increase the computational efficiency and reduce the modeling errors. The concept is applied to embedded element pattern predictions via matrix inversion. A novel study on the impact of the type and orientation of the dipoles on the IDM performance in pattern mean square error (MSE) and stability against noise (linked to the matrix condition number) is conducted. A 5 by 5 patch antenna array modeled with 81 dipoles is used for demonstration. It is shown that using magnetic dipoles (oriented in the direction of a radiating edge of the patch) in IDM yields the optimal performance. Besides, the sunflower topology significantly lowers the MSE (by 5 dB, on average), while reducing the condition number by a factor of 10.
With the pervasiveness of Stochastic Shortest-Path (SSP) problems in high-risk industries, such as last-mile autonomous delivery and supply chain management, robust planning algorithms are crucial for ensuring success...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
With the pervasiveness of Stochastic Shortest-Path (SSP) problems in high-risk industries, such as last-mile autonomous delivery and supply chain management, robust planning algorithms are crucial for ensuring successful task completion while mitigating hazardous outcomes. Mainstream chance-constrained incremental sampling techniques for solving SSP problems tend to be overly conservative and typically do not consider the likelihood of undesirable tail events. We propose an alternative risk-aware approach inspired by the asymptoticallyoptimal Rapidy-Exploring Random Trees (RRT*) planning algorithm, which selects nodes along path segments with minimal Conditional Value-at-Risk (CVaR). Our motivation rests on the step-wise coherence of the CVaR risk measure and the optimal substructure of the SSP problem. Thus, optimizing with respect to the CVaR at each sampling iteration necessarily leads to an optimal path in the limit of the sample size. We validate our approach via numerical path planning experiments in a two-dimensional grid world with obstacles and stochastic pathsegment lengths. Our simulation results show that incorporating risk into the tree growth process yields paths with lengths that are significantly less sensitive to variations in the noise parameter, or equivalently, paths that are more robust to environmental uncertainty. Algorithmic analyses reveal similar query time and memory space complexity to the baseline RRT* procedure, with only a marginal increase in processing time. This increase is offset by significantly lower noise sensitivity and reduced planner failure rates.
Scaled Relative Graphs (SRGs) provide a novel graphical frequency-domain method for the analysis of nonlinear systems. However, we show that the current SRG analysis suffers from some pitfalls that limit its applicabi...
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Hybrid Autonomous Underwater Glider (HAUG) is a vehicle used for underwater missions such as monitoring and finding new underwater resources. HAUG has good endurance and maneuverability compared to conventional Autono...
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Since radio-frequency signals are affected signifi-cantly by multipath fading, the localization accuracy they offer cannot meet the sixth generations (6G) demanding specifications. On the other hand, visible light pos...
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