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Topological nonlinear anomalous nernst effect in strained transition metal dichalcogenides

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arXiv 2019年

作者： Yu, Xiao-Qin Zhu, Zhen-Gang You, Jhih-Shih Low, Tony Su, Gang School of Physics and Electronics Hunan University Changsha410082 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China Theoretical Condensed Matter Physics and Computational Materials Physics Laboratory College of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China Institute for Theoretical Solid State Physics IFW Dresden Helmholtzstr. 20 Dresden01069 Germany Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Kavli Institute of Theoretical Sciences University of Chinese Academy of Sciences Beijing100049 China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing100190 China

We theoretically analyze the non-linear anomalous Nernst effect as the second-order response of temperature gradient by using the semiclassical framework of electron dynamics. We find that a non-linear current can be generated transverse to the applied temperature gradient in time-reversal-symmetry materials with broken inversion symmetry. This effect has a quantum origin arising from the Berry curvature of states near the Fermi surface. We discuss the non-linear Nernst effect in transition metal dichalcogenides (TMDCs) under the application of uniaxial strain. In particular, we predict that under fixed chemical potential in TMDCs, the non-linear Nernst current exhibits a transition from T−2 temperature dependence in low temperature regime to a linear T-dependence in high temperature. Copyright © 2019, The Authors. All rights reserved.

关键词： Transition metals

Robust ADRC for Nonlinear Time-varying System with Uncertainties 6

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Robust ADRC for Nonlinear Time-varying System with Uncertain...

2017 IEEE 6th Data Driven control and Learning Systems Conference (DDCLS’17)

作者： Xiangyang Li Wei Ai Zhiqiang Gao Senping Tian Key Laboratory of Autonomous Systems and Networked Control Ministry of Education School of Automation Science and Engineering South China University of Technology IEEE Center for Advanced Control Technologies Department of Electrical and Computer EngineeringCleveland State University

ISBN: (纸本)9781509054626

Active disturbance rejection control(ADRC) exemplifies the spirit of the data-driven control(DDC) design strategy and shows much promise in obtaining consistent applications in industrial control systems with uncertainties, without the premise that the detailed mathematical model of the controlled system is given. Instead, it is shown that the information needed for the control system to work at high level of effectiveness can be extracted from the input-output data by the use of the extended state observer(ESO). On the other hand, it is shown in this paper that the robustness of ADRC depends on the effectiveness of ESO. Furthermore, taking advantage of the rich body of knowledge in the existing field of robust control, the estimation error in ESO is analysed and, for the purpose of improved robustness, a unique nonlinear component is added to the conventional ADRC law. The modified ADRC which is a kind of robust ADRC law is validated in simulation for a nonlinear time-varying system with parametric and functional uncertainties. It is shown that the proposed robust ADRC law provides more effective tracking performance than the conventional ADRC when the bandwidth of ESO is not wide enough.

关键词： Active Disturbance Rejection control(ADRC) Robust control Extended State Observer(ESO) Nonlinear Time-varying System

Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

Dispatchable Virtual Oscillator control for Decentralized Inverter-dominated Power Systems: Analysis and Experiments

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arXiv 2018年

作者： Seo, Gab-Su Colombino, Marcello Subotic, Irina Johnson, Brian Groß, Dominic Dörfler, Florian Power Systems Engineering Center National Renewable Energy Laboratory GoldenCO80401 United States Automatic Control Laboratory ETH Zurich Zurich8092 Switzerland Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States

—This paper presents an analysis and experimental validation of dispatchable virtual oscillator control (dVOC) for inverter-dominated power systems. dVOC is a promising decentralized control strategy that requires only local measurements to induce grid-forming behavior with programmable droop characteristics. It is dispatchable–i.e., the inverters can vary their power generation via user-defined power set-points and guarantees strong stability. To verify its feasibility, a testbed comprising multiple dVOC-programmed inverters with transmission line impedances is designed. With an embedded synchronization strategy, the dVOC inverters are capable of dynamic synchronization, black start operation, and transient grid voltage regulation with dynamic load sharing, and real-time-programmable droop characteristics for backward compatibility. All these features are experimentally verified. Copyright © 2018, The Authors. All rights reserved.

关键词： Synchronization

Relay-assisted and QoS aware scheduling to overcome blockage in mmWave backhaul networks

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arXiv 2018年

作者： Niu, Yong Ding, Weiguang Wu, Hao Li, Yong Chen, Xinlei Ai, Bo Zhong, Zhangdui State Key Laboratory of Rail Traffic Control and Safety School of Electronic and Information Engineering Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China Department of Electronic Engineering Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh United States

In the scenario where small cells are densely deployed, the millimeter wave (mmWave) wireless backhaul network has been widely used. However, mmWave is easily blocked by obstacles, and how to forward the data of the blocked flows is still a significant challenge. To ensure backhauling capacity, the quality of service (QoS) requirements of flows should be satisfied. In this paper, we investigate the problem of optimal scheduling to maximize the number of flows satisfying their QoS requirements with relays exploited to overcome blockage. To achieve a practical solution, we propose a relay-assisted and QoS aware scheduling scheme for the backhaul networks, called RAQS. It consists of a relay selection algorithm and a transmission scheduling algorithm. The relay selection algorithm selects non-repeating relays with high link rates for the blocked flows, which helps to achieve the QoS requirements of flows as soon as possible. Then, according to the results of relay selection, the transmission scheduling algorithm exploits concurrent transmissions to satisfy the QoS requirements of flows as much as possible. Extensive simulations show RAQS can effectively overcome the blockage problem, and increase the number of completed flows and network throughput compared with other schemes. In particular, the impact of relay selection parameter is also investigated to further guide the relay selection. Copyright © 2018, The Authors. All rights reserved.

关键词： Quality of service

The Design and Realization of Smart Energy Management System based on Supply-Demand Coordination

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IFAC-PapersOnLine 2017年第1期50卷 195-200页

作者： Okae J. Du J. Akowuah E.K. Appiah G. Anto E.K. School of Automation Science and Control Engineering South China University of Technology China Department of Computer Engineering Kwame Nkrumah University of Science and Technology Ghana The Energy Center College of Engineering Kwame Nkrumah University of Science and Technology Ghana Department of Electrical and Electronic Engineering Kwame Nkrumah University of Science and Technology Ghana

Sub-Saharan Africa in recent years have been faced with many power challenges including limited and unreliable power supply, high cost of power supply and underdeveloped power infrastructures with serious negative impacts on the socio-economic development. This paper presents the development of Smart Energy Management Solution (SEMS) for buildings. The work seeks to propose a generic algorithm that supports existing wiring infrastructure of buildings in Africa to provide 24/7 reliable power supply and efficient management of limited power supply in buildings. SEMS focuses on the use of robust, distributed and heterogeneous power sources connected in islanding phenomenon to ensure reliability and also using a dynamic approach with energy efficiency measures to provide a balance between power supply and demand in buildings. A demonstration of SEMS for buildings was performed in MATLAB Simulink using actual data obtained from selected buildings at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. SEMS revealed higher power reliability and efficiency in energy usage. © 2017

关键词： building automation energy efficiency Smart Energy Management Solution (SEMS)

Hole-spin-echo envelope modulations

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arXiv 2019年

作者： Philippopoulos, Pericles Chesi, Stefano Salfi, Joe Rogge, Sven Coish, W.A. Department of Physics McGill University 3600 rue University MontrealQcH3A 2T8 Canada Beijing Computational Science Research Center Beijing100193 China Department of Physics Beijing Normal University Beijing100875 China School of Physics University of New South Wales SydneyNSW2052 Australia Centre for Quantum Computation and Communication Technology University of New South Wales SydneyNSW2052 Australia Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

Hole spins in semiconductor quantum dots or bound to acceptor impurities show promise as potential qubits, partly because of their weak and anisotropic hyperfine couplings to proximal nuclear spins. Since the hyperfine coupling is weak, it can be difficult to measure. However, an anisotropic hyperfine coupling can give rise to a substantial spin-echo envelope modulation that can be Fourier-analyzed to accurately reveal the hyperfine tensor. Here, we give a general theoretical analysis for hole-spin-echo envelope modulation (HSEEM), and apply this analysis to the specific case of a boron-acceptor hole spin in silicon. For boron acceptor spins in unstrained silicon, both the hyperfine and Zeeman Hamiltonians are approximately isotropic leading to negligible envelope modulations. In contrast, in strained silicon, where light-hole spin qubits can be energetically isolated, we find the hyperfine Hamiltonian and g-tensor are sufficiently anisotropic to give spin-echo-envelope modulations. We show that there is an optimal magnetic-field orientation that maximizes the visibility of envelope modulations in this case. Based on microscopic estimates of the hyperfine coupling, we find that the maximum modulation depth can be substantial, reaching ∼ 10%, at a moderate laboratory magnetic field, B . 200 mT. Copyright © 2019, The Authors. All rights reserved.

关键词： Hamiltonians

A robust adaptive sliding mode controller for robot manipulators 7

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A robust adaptive sliding mode controller for robot manipula...

7th Conference on Artificial Intelligence and Robotics, IRANOPEN 2017

作者： Gorji, Shaghayegh Yazdanpanah, Mohammad Javad Department of Electrical Biomedical and Mechatronics Qazvin Branch Islamic Azad University Qazvin Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781538628621

In this paper, a novel adaptive sliding mode control for rigid robot manipulators is proposed. In the considered system, since there may exist explicit unknown system parameters and also perturbations, a lyapunov based approach is presented to increase system robustness, even in presence of arbitrarily large (but not infinite) discontinuous perturbations. The design contains two different phases of adaptation. The first one is related to the robot parameters and the other is accounted for perturbation estimating. A continuous controller is presented from the first step of design procedure. We try to prove the stability in the sense of lyapunov and derive adaptive laws and uniform ultimate boundedness in the worst condition. Simulation results for two degrees of freedom rigid robot manipulator effectively demonstrate the capability of mentioned approach. © 2017 IEEE.

关键词： Sliding mode control

Analog nature of quantum adiabatic unstructured search

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arXiv 2019年

作者： Slutskii, Mikhail Albash, Tameem Barash, Lev Hen, Itay National Research University Higher School of Economics Moscow101000 Russia Department of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States Department of Physics and Astronomy Center for Quantum Information and Control CQuIC University of New Mexico AlbuquerqueNM87131 United States Landau Institute for Theoretical Physics Chernogolovka142432 Russia Department of Physics and Astronomy Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States Information Sciences Institute University of Southern California Marina del ReyCA90292 United States

The quantum adiabatic unstructured search algorithm is one of only a handful of quantum adiabatic optimization algorithms to exhibit provable speedups over their classical counterparts. With no fault tolerance theorems to guarantee the resilience of such algorithms against errors, understanding the impact of imperfections on their performance is of both scientific and practical significance. We study the robustness of the algorithm against various types of imperfections: limited control over the interpolating schedule, Hamiltonian misspecification, and interactions with a thermal environment. We find that the unstructured search algorithm’s quadratic speedup is generally not robust to the presence of any one of the above non-idealities, and in some cases we find that it imposes unrealistic conditions on how the strength of these noise sources must scale to maintain the quadratic speedup. Copyright © 2019, The Authors. All rights reserved.

关键词： Fault tolerance