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arXiv 2023年

作者： Vizvary, Samuel R. Wall, Zachary J. Boguslawski, Matthew J. Bareian, Michael Derevianko, Andrei Campbell, Wesley C. Hudson, Eric R. Department of Physics and Astronomy University of California Los Angeles Los AngelesCA United States Department of Physics University of Nevada RenoNV89557 United States Challenge Institute for Quantum Computation University of California Los Angeles Los AngelesCA United States Center for Quantum Science and Engineering University of California Los Angeles Los AngelesCA United States

The omg protocol is a promising paradigm that uses multiple, application-specific qubit subspaces within the Hilbert space of each single atom during quantum information processing. A key assumption for omg operation is that a subspace can be accessed independently without deleterious effects on information stored in other subspaces. We find that intensity noise during laser-based quantum gates in one subspace can cause decoherence in other subspaces, potentially complicating omg operation. We show, however, that a magnetic-field-induced vector light shift can be used to eliminate this source of decoherence. As this technique requires simply choosing a certain, magnetic field dependent, polarization for the gate lasers it is straightforward to implement and potentially helpful for omg based quantum technology. © 2023, CC BY.

关键词： Magnetic fields

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Consumption Based Source Apportionment Indicates Different Regional Contributions to O3 Concentrations and Health Effects

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engineering 2023年第9期28卷 130-138页

作者： Shengqiang Zhu Peng Wang Siyu Wang Guannan Geng Hongyan Zhao Yuan Wang Hongliang Zhang Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China Department of Atmospheric and Oceanic Sciences Fudan UniversityShanghai 200433China Integrated Research on Disaster Risk International Centre of Excellence(IRDR ICoE)on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Fudan UniversityShanghai 200433China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Center for Atmospheric Environmental Studies School of EnvironmentBeijing Normal UniversityBeijing 100875China Division of Geological and Planetary Sciences California Institute of TechnologyPasadenaCA 91020USA Institute of Eco-Chongming(IEC) East China Normal UniversityShanghai 200241China

China is confronting aggravated ozone(O_(3))pollution,leading to adverse health *** study quantifies the regional contributions to O_(3)in China using two approaches;estimating(1)where goods are produced(the production method),and(2)where goods are consumed(the consumption method).The production method predicts higher local source contribution than the consumption method;this difference can be attributed to *** of high-O_(3)episodes suggests a major contribution to O_(3)concentration as a result of trade *** on the consumption method,9219 out of 18532 daily premature mortalities were caused by local sources in north China,while it increased to 14471 of the production method when neglecting contributions due to export and consumption in other *** study suggests that O_(3)control should consider both where goods are consumed and emissions are emitted,especially taking account of international trade activities.

关键词： O_(3)pollution Trade Source-oriented CMAQ Health risks

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Experimental validation and control of Laboratory aerial system by IC741-IOPID and IC741-FOP Iλ controllers: An Analog approach 11

Experimental validation and control of Laboratory aerial sys...

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11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020

作者： Valluru, Sudarshan K. Kumar, Gaurav Kumar, Rajul Meena, Ankit Lal Center for Control of Dynamical Systems and Computation Delhi Technological University Dept. of Electrical Engineering Delhi110042 India

ISBN: (纸本)9781728168517

As control and trajectory tracking of hovering aerial vehicles are remarkable objective among researchers and industries. So in this paper, a validated attempt is made to achieve the precise and desired control of the Twin Rotor Aerial System (TRAS) over is motion in horizontal as well as vertical planes. To obtain pitch and yaw angles stabilization and desired trajectory tracking of TRAS the IO-PID and fractional order FOP I-{ lambda} controllers are designed using IC741 operational amplifiers. The designing and transforming integer order scheme into fractional-order crone1 and continued fraction expansion (CFE) methods are used, which ultimately replace feedback capacitor in I-{ lambda} control scheme with an RC ladder fractance device. The designed controllers are tested with a defined disturbance provided to pitch and yaw trajectories and the time taken by both the controllers are compared for testing of stabilization control performances. It is observed from results that IC741-I-{ lambda} controller gives better trajectory tracking and stabilization than IC741-IOPID. © 2020 IEEE.

关键词： controllers

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A Silicon Monoxide Lithium-Ion Battery Anode with Ultrahigh Areal Capacity

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Nano-Micro Letters 2022年第3期14卷 229-243页

作者： Jiang Zhong Tao Wang Lei Wang Lele Peng Shubin Fu Meng Zhang Jinhui Cao Xiang Xu Junfei Liang Huilong Fei Xidong Duan Bingan Lu Yiliu Wang Jian Zhu Xiangfeng Duan State Key Laboratory for Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringSchool of Physics and ElectronicsHunan Key Laboratory of Two‑Dimensional MaterialsEngineering Research Center of Advanced Catalysis of the Ministry of EducationHunan UniversityChangsha 410082People’s Republic of China International Graduate School at Shenzhen Tsinghua UniversityShenzhen 518057People’s Republic of China Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of Education Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information TechnologyHarbin Institute of TechnologyHarbin 150090People’s Republic of China School of Energy and Power Engineering North University of ChinaTaiyuan 030051People’s Republic of China Department of Chemistry and Biochemistry University of CaliforniaLos AngelesCA 90095USA

Silicon monoxide(SiO)is an attractive anode material for next-generation lithium-ion batteries for its ultra-high theoretical capacity of 2680 mAh g−*** studies to date have been limited to electrodes with a rela-tively low mass loading(<3.5 mg cm^(−2)),which has seriously restricted the areal capacity and its potential in practical *** areal capacity with such high-capacity materials is critical for capitalizing their potential in practi-cal ***,we report a monolithic three-dimensional(3D)large-sheet holey gra-phene framework/SiO(LHGF/SiO)composite for high-mass-loading *** specifically using large-sheet holey graphene building blocks,we construct LHGF with super-elasticity and exceptional mechanical robustness,which is essential for accommodating the large volume change of SiO and ensuring the structure integrity even at ultrahigh mass ***,the 3D porous graphene network structure in LHGF ensures excellent electron and ion *** systematically tailoring microstructure design,we show the LHGF/SiO anode with a mass loading of 44 mg cm^(−2)delivers a high areal capacity of 35.4 mAh cm^(−2)at a current of 8.8 mA cm^(−2)and retains a capacity of 10.6 mAh cm^(−2)at 17.6 mA cm^(−2),greatly exceeding those of the state-of-the-art commercial or research ***,we show an LHGF/SiO anode with an ultra-high mass loading of 94 mg cm^(−2)delivers an unprecedented areal capacity up to 140.8 mAh cm^(−2).The achievement of such high areal capacities marks a critical step toward realizing the full potential of high-capacity alloy-type electrode materials in practical lithium-ion batteries.

关键词： Silicon monoxide Large-sheet holey graphene Lithium-ion batteries High mass loading Ultra-high areal capacity

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Experimental Investigation of Fully Informed Particle Swarm Optimization tuned Multi Loop L-PID and NL-PID controllers for Gantry Crane System 3

Experimental Investigation of Fully Informed Particle Swarm ...

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3rd International Conference on Computing and Network Communications, CoCoNet 2019

作者： Valluru, Sudarshan K. Kaur, Manpreet Kartikeya, Kumar Goel, Arnav Dobhal, Daksh Incubation Center for Control Dynamical Systems and Computation Department of Electrical Engineering Delhi Technological University Delhi110042 India

This paper presents a novel stabilizing nonlinear PID controller with real time experimental validation on a gantry crane system. Our adaptive control technique describes the underactuated system as a nonlinear mapping of control signal with the hyperbolic tangent function. The proposed function is used to impose a constraint on the proportional, integral and derivative errors such that the system results an effective and robust performance. The main trait of the controller is to bound the high control error to result in a lesser correction value. An enhanced hybrid method based on the bioinspired meta-heuristic algorithm Particle Swarm Optimisation is utilised to tune the gain coefficients Kpδ, KIδ and KDδ. The Linear controller and the proposed controllers were compared based on the stabilizing action on the real time system. The real time results depict that the nonlinear PID performs better than the conventional PID. © 2020 The Authors. Published by Elsevier B.V.

关键词： controllers

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Design of Precise FLC for Trajectory Tracking and Stabilization of Twin Rotor MIMO System 6

Design of Precise FLC for Trajectory Tracking and Stabilizat...

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6th IEEE International Conference on engineering, Technologies and Applied Sciences, ICETAS 2019

作者： Valluru, Sudarshan K. Kumar, Rajul Kumar, Rahul Center for Control of Dynamical Systems and Computation Delhi Technological University Dept. of Electrical Engineering Delhi110042 India

ISBN: (纸本)9781728140827

A progressive and analytical approach is used for designing the precise fuzzy logic controller to control a Twin Rotor Multiple Input Multiple Output System (TRMS). Two fuzzy logic controllers are designed and tested in simulation for pitch and yaw trajectory tracking, including one degree of freedom each. For the formalization and fuzzy implication of both pitch and yaw fuzzy controllers, Mamdani constructive paradigm is used in this paper. Triangular and Trapezoidal member functions are constructed in Fuzzy Interference System and tuned by using performance evaluation after initial characteristic design as well as experience and parametric investigation about TRMS plant. Performance of Conventional Linear PID controller has been compared in terms of peak overshoot, rise time, settling time with fuzzy logic controller (FLC) for stabilization of pitch and yaw angle. Impulse signals are given as disturbances in simulation to the TRMS output, which resembles as real-time aerial and atmospheric disturbances. The results convey that the stabilization achievement of the fuzzy controller is predominant as compared to the Linear-PID controller. © 2019 IEEE.

关键词： Stabilization

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Design and Real Time implementation of fmincon, MOGA tuned IO-PID and FO-PIλDμ controllers for Stabilization of TRMS 3

Design and Real Time implementation of fmincon, MOGA tuned I...

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3rd International Conference on Computing and Network Communications, CoCoNet 2019

作者： Valluru, Sudarshan K. Kumar, Rajul Kumar, Rahul Center for Control of Dynamical Systems and Computation Dept. of Electrical Engineering Delhi Technological University Delhi110042 India

The insistence of this paper is to design Fractional order-proportional Integral Derivative (FO-PID) and Integral order -Proportional Integral Derivative (IO-PID) controllers for trajectory tracking control of Twin rotor Multiple Input Multiple Output (MIMO) system (TRMS). The aim of these designed controllers is to move the main and tail actuator at the desired angles accurately to fulfill the demanding attributes so that TRMS should stabilize while hovering. The controller parameters of both the controllers are optimized using fmincon function as well as Multiobjective genetic algorithm. Both the controller are tested in real time and their performance are compared for control of yaw and pitch angles of TRMS. Manual disturbances are given at after 40 seconds of first given disturbance, and the designed controllers are highly capable in diminishing quickly the effect of manual perturbations given to the main and tail rotor of TRMS. From experiment it is observed from comparative performance that FO-PID controller tuned using multiobjective genetic algorithm give best performance in term of time taken to stabilization after the given disturbance. © 2020 The Authors. Published by Elsevier B.V.

关键词： Three term control systems

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A Tale of Two Doses: Model Identification and Optimal Vaccination for COVID-19

A Tale of Two Doses: Model Identification and Optimal Vaccin...

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IEEE Conference on Decision and control

作者： Raphael Chinchilla Guosong Yang Murat K. Erdal Ramon R. Costa João P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara USA Federal University of Rio de Janeiro Brazil

ISBN: (纸本)9781665436601

We address the model identification and the computation of optimal vaccination policies for the coronavirus disease 2019 (COVID-19). We consider a stochastic Susceptible– Infected–Removed (SIR) model that captures the effect of multiple vaccine treatments, each requiring a different number of doses and providing different levels of protection against the disease. We show that the inclusion of vaccination data enables the estimation of the state of the model and key model parameters that are otherwise not identifiable. This estimates can, in turn, be used to design strategic approaches to vaccination that aim at minimizing the number of deaths and the economic cost of the disease. We illustrate these results with numerical examples.

关键词： COVID-19 Costs computational modeling Conferences Stochastic processes Estimation Data models

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High-Speed Acquisition and Intelligent Tunnel Surface Defects Recognition

SSRN

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SSRN 2023年

作者： Wang, Yaodong Liao, Weisheng Dong, Anqi Xu, Lizhi Zhu, Liqiang Shi, Hongmei School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Collaborative Innovation Center of Railway Traffic Safety Beijing China Department of Mechanical and Aerospace Engineering University of California IrvineCA United States

We introduce a framework to efficiently capture and identify the defects on the subway tunnel surfaces. Specifically, we design a high-speed multi-camera-synchronous acquisition system for scanning the tunnel surfaces and capturing the cracks from images. We propose an Improved Cascade Region-Based Convolutional Neural Network (R-CNN) method to locate and classify defects, with the crack being refined by image processing algorithms. The methodology is tested by on-site experiments carried out in an operational subway. The mAP value reaches 0.827, with a specific AP value of 0.625 and a newly proposed measure identification rate of 0.942 for crack objects. Notably, by training on bounding box labels, our overall algorithm exhibits the lowest Error Rate (ER) and the highest Intersection over Union (IoU) across all test images, surpassing the performance of classical semantic segmentation networks trained on pixel-level labels. © 2023, The Authors. All rights reserved.

关键词： Structural health monitoring

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Image-Based Intelligent Detection of Typical Defects of Complex Subway Tunnel Surface

SSRN

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SSRN 2023年

作者： Xu, Lizhi Wang, Yaodong Dong, Anqi Zhu, Liqiang Shi, Hongmei Yu, Zujun School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Collaborative Innovation Center of Railway Traffic Safety Beijing China Department of Mechanical and Aerospace Engineering University of California IrvineCA United States

Intelligent defect detection of subway tunnel surfaces has drawn significant attention in the field of rail transit infrastructure inspection. To recognize multiple objects from massive, large-scale, and complex tunnel images, we propose a new hybrid model algorithm that avoids repeatedly adjusting parameters and using high-cost annotation datasets. In the algorithm, objects captured by high-resolution images of the tunnel surfaces are classified using our multi-scale, fusion-based encoder-decoder segmentation model. Enhanced by the Expanded Threshold Search algorithm (ETS) and the Local Window Extraction algorithm (LWE), the exact cracks from the complex background are identified and recovered. The acquisition device and the algorithm, implementing the multi-object dataset, have successfully experimented in the subway, whereby it recognizes five objects and attains the highest Intersection over Union (89.7% for the cable and pipe object,89.7% for the bolt object, 39.3% for the crack object and 61.7% for the rest). In complex scenarios, the hybrid model outperforms the segmentation model and filter-based image processing method with higher IoU and F1 scores. © 2023, The Authors. All rights reserved.

关键词： Semantic Segmentation

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