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Frontiers of physics 2020年第4期15卷 101-112页

作者： Si Li Zhi-Ming Yu Yugui Yao Shengyuan A.Yang Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innouation Center for Quantum Efects and ApplicationsHunan Norrmal UniversityChangsha 410081China Research Laboratory for Quantum Materials Singapore University of Technology and DesignSingapore 487372Singapore Key Lab of Advanced Optoelectronic Quantum Architecture and Measurement(MOE) Beijing Key Lab of Nanophotonics&Utrafine Optoelectronic Systemsand School of PhysicsBeijing Institute of TechnologyBeijing 100081China

Topological metals(TMs)are a kind of special metallic materials,which feature nontrivial band Cross-ings near the Fermi energy,giving rise to peculiar quasiparticle *** can be classified based on the characteristics of these band *** example,according to the dimensionality of the crossing,TMs can be classifed into nodal-point,nodal-line,and nodal-surface *** important property is the type of *** to degree of the tilt of the local dispersion around the crossing,we have typeI and type-II *** leads to significant distinctions in the physical properties of the materials,owing to their contrasting Fermi surface *** this article,we briefly review the recent advances in this research direction,focusing on the concepts,the physical properties,and the material realizations of the type-Il nodal-point and nodal-line TMs.

关键词： type-II nodal point nodal line topological metals

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EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

arXiv

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arXiv 2023年

作者： Peng, Mai Yazdani, Delaram She, Zeneng Yazdani, Danial Luo, Wenjian Li, Changhe Branke, Juergen Nguyen, Trung Thanh Gandomi, Amir H. Yang, Shengxiang Jin, Yaochu Yao, Xin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Research Institute Faculty of Engineering and Technology Liverpool John Moores University United Kingdom School of Computer Science and Technology Harbin Institute of Technology China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and Technology Harbin Institute of Technology Peng Cheng Laboratory China School of Artificial Intelligence Anhui University of Sciences & Technology China Information Systems Management and Analytics in Warwick Business School University of Warwick United Kingdom Faculty of Engineering & Information Technology University of Technology Sydney Australia Obuda University Hungary School of Computer Science and Informatics De Montfort University United Kingdom Department of Artificial Intelligence School of Engineering Westlake University China School of Computer Science University of Birmingham United Kingdom

Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algorithms (EDOAs) are designed to address these challenges effectively. However, in existing literature, the reported results for a given EDOA can vary significantly. This inconsistency often arises because the source codes for many EDOAs, which are typically complex, have not been made publicly available, leading to error-prone re-implementations. To support researchers in conducting experiments and comparing their algorithms with various EDOAs, we have developed an open-source MATLAB platform called the Evolutionary Dynamic Optimization LABoratory (EDOLAB). This platform not only facilitates research but also includes an educational module designed for instructional purposes. The education module allows users to observe: a) a 2-dimensional problem space and its morphological changes following each environmental change, b) the behaviors of individuals over time, and c) how the EDOA responds to environmental changes and tracks the moving optimum. The current version of EDOLAB features 25 EDOAs and four fully parametric benchmark generators. © 2023, CC BY-NC-SA.

关键词： Optimization algorithms

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Corrigendum to “Stochastic generalized Nash equilibrium seeking under partial-decision information” [automatica 137 (2022) 110101]

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automatica 2022年 145卷

作者： Barbara Franci Sergio Grammatico Department of Advanced Computing Sciences Maastricht University The Netherlands Delft Center for Systems and Control Delft University of Technology The Netherlands

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Real-time optimal motion planning for automated road vehicles ⁎ ⁎⁎

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IFAC-PapersOnLine 2020年第2期53卷 15647-15652页

作者： Ferenc Hegedüs Tamás Bécsi Szilárd Aradi Zsolt Szalay Péter Gáspár Robert Bosch Hungary Budapest Hungary Department of Control for Transportation and Vehicle Systems Budapest University of Technology and economics Budapest Hungary Department of Automotive Technologies Budapest University of Technology and economics Budapest Hungary

This paper presents a real-time optimal motion planner algorithm for road vehicles. The method is based on a cubic spline trajectory planner which is able to plan a set of vehicle motions driving from a given initial state to a required final state. Maximal dynamical feasibility and passenger comfort are ensured by minimizing the lateral acceleration and tracking errors as the vehicle moves along the trajectory. Tracking of the planned motion is realized during planning and execution as well by separate longitudinal and lateral controllers. efficient implementation and small number of optimization variables enables real-time usage. The trajectory planner is first tested in a quasi real-time simulation environment and then under real working conditions at the dynamic platform of proving ground ZalaZone with a completely drive-by-wire Smart Fortwo. Measurement results are presented and analyzed in detail, and possible future research directions are mentioned.

关键词： real-time motion planning trajectory planning dynamical feasibility

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Preface

Lecture Notes in Networks and Systems

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Lecture Notes in Networks and systems 2023年 730 LNNS卷 v-vi页

作者： Noor, Arti Saroha, Kriti Pricop, Emil Trivedi, Gaurav Sen, Abhijit Uttar Pradesh Noida India Department of Automatic Control Computers and Electronics Petroleum-Gas University of Ploiesti Ploiesti Romania Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati Guwahati India Department of Computing Science and Information Technology Kwantlen Polytechnic University SurreyBC Canada

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Using Resting State Heart Rate Variability and Skin Conductance Response to Detect Depression in Adults

Using Resting State Heart Rate Variability and Skin Conducta...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Lukasz Tyszczuk Smith Liat Levita Francesco Amico Jennifer Fagan John H. Yek Justin Brophy Haihong Zhang Mahnaz Arvaneh Department of Automatic Control and Systems Engineering The University of Sheffield UK Department of Psychology The University of Sheffield UK Newcastle Hospital Co. Wicklow Ireland Institute for Infocomm Research Singapore

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Depression is the leading cause of disability worldwide, yet rates of missed- and mis-diagnoses are alarmingly high. The introduction of objective biomarkers, to aid diagnosis, informed by depression's physiological pathology may alleviate some of the burden on strained mental health services. Three minutes of eyes-closed resting state heart rate and skin conductance response (SCR) data were acquired from 27 participants (16 healthy controls, 11 with major depressive disorder (MDD)). Various classifiers were trained on state-of-the-art and novel features. We are aware of no previous studies analysing the utility of multimodal vs. individual modalities for classification. We found no improvement using multimodal classifiers over using heart rate variability (HRV) alone, which achieved 81% test accuracy. The best multimodal and SCR only classifiers were only slightly less accurate at 78%. Despite not improving depression detection, SCR features did show stronger correlation with suicidal ideation than HRV. SD1/SD2 2 is a novel HRV feature proposed in this paper, similar to the commonly used ratio SD1/SD2 but with more marked separation between classes, having the largest Rank Biserial Correlation of all examined features (p-value = 0.002, RBC = -0.73). We recommend further studies in this area.

关键词： Heart rate variability Correlation Skin Standards Rail to rail inputs Feature extraction

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On Passivity-Shortage of Human Operators for A Class of Semi-autonomous Robotic Swarms

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IFAC-PapersOnLine 2019年第34期51卷 21-27页

作者： Surya Atman, Made Widhi Noda, Kosei Funada, Riku Yamauchi, Junya Hatanaka, Takeshi Fujita, Masayuki Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Tokyo Japan Division of Electrical Electronic and Information Engineering Graduate School of Engineering Osaka University Osaka Japan

This paper analyzes perceived workload and passivity-shortage of human operators for a class of semi-autonomous robotic swarms. First, we briefly introduce the passivity-short-based architecture presented in one of our previous works, which guarantees human-enabled motion synchronization to desired position/velocity references under the assumption that the human operator's thought process is a passivity-short system. It is observed that changes in parameter affects the visual feedback to the operator and also the complexity of the setups. Through user-studies using a human-in-the-loop simulator and questionnaires, we observe an increase in the perceived workload of the human operator for more complex setups. The result imposes the trade-off for less workload vs. clarity of the robotic swarms’ information to the human operator. Furthermore, through non-parametric system identification on data from user-studies, it is observed that all obtained models of the participants have the passivity-short property. © 2019

关键词： Visual servoing Economic and social effects Personnel Robotics Surveys Visual communication Autonomous robotics Co operative control Desired position Human in the loop Non parametric Robotic swarms Thought process Visual feedback

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Utilizing the Dangled Jute Cords, Reflectors, and Condensation Cycle to Enhance the Performance of Double Slope Solar Still

SSRN

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SSRN 2022年

作者： Abdullah, A.S. Omara, Z.M. Essa, Fadl A. Alawee, Wissam H. Mohammed, Suha A. Majdi, Ali Control and Systems Engineering Department University of Technology Baghdad Iraq Department of Mechanical Engineering College of Engineering in Al-Kharj Prince Sattam bin Abdulaziz University Al-Kharj11942 Saudi Arabia Mechanical Power Engineering Department Faculty of Engineering Tanta University Tanta31734 Egypt Mechanical Engineering Department University of Technology Baghdad Iraq Department of Building and Construction Technologies Engineering Al- Mustaqbal University College Hilla51001 Iraq Mechanical Engineering Department Faculty of Engineering Kafrelsheikh University Kafrelsheikh33516 Egypt

Solar still is one of the solutions that help people who live far from urbanization, however it suffers from low productivity. So, the performance of the cords wick double slope solar still (WDSSS) was investigated under various conditions. The impact of utilizing various numbers of jute cords (9, 16, 25, and 35 cords) was tested. Moreover, the influence of using reflectors and condensation cycle with WDSSS was tested. The experimental data revealed that the cords numbers achieved the best WDSSS performance without and with reflectors and condensation cycle were 25 and 35 cords, respectively. Besides, at 25 cords, the yield of WDSSS without neither reflectors nor condensation cycle was increased by 140% as compared to CSS (7200 vs 3000 mL/***, respectively). Also, the yield of WDSSS with reflectors at 25 cords was enhanced by 180% over CSS (9500 vs 3400 mL/***, respectively). Moreover, at 25 cords, the integration effect of using condensation and reflectors augmented the yield of WDSSS by 212% over that of CSS (11250 vs 3600, respectively). Finally, the best performance of WDSSS was found when using reflectors and condensation cycle under 35 jute cords, where the efficiency and distillate yield increase reached 51.5% and 228%, respectively. © 2022, The Authors. All rights reserved.

关键词： Condensation

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Multimodal Information-Based Broad and Deep Learning Model for Emotion Understanding

Multimodal Information-Based Broad and Deep Learning Model f...

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第40届中国控制会议

作者： Min Li Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

Multimodal information-based broad and deep learning model（MIBDL） for emotion understanding is proposed, in which facial expression and body gesture are used to achieve emotional states recognition for emotion understanding. It aims to understand coexistence multimodal information in human-robot interaction by using different processing methods of deep network and broad network, which obtains the features of depth and width dimensions. Moreover, random mapping in the initial broad learning network could cause information loss and its shallow layer network is difficult to cope with complex tasks. To address this problem, we use principal component analysis to generate the nodes of the broad learning, and the stacked broad learning network is adapted to make it easier for the existing broad learning networks to cope with complex tasks by creating deep variations of the existing network. To verify the effectiveness of the proposal, experiments completed on benchmark database of spontaneous emotion expressions are developed, and experimental results show that the proposal outperforms the state-of-theart methods. According to the simulation experiments on the FABO database, by using the proposed method, the multimodal recognition rate is 17,54%, 1.24%, and 0.23% higher than those of the temporal normalized motion and appearance features（TN）,the multi-channel CNN（MCCNN）, and the hierarchical classification fusion strategy（HCFS）, respectively.

关键词： Convolution neural network broad learning emotion understanding facial expression body gesture

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Driving on Highway by Using Reinforcement Learning with CNN and LSTM Networks

Driving on Highway by Using Reinforcement Learning with CNN ...

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IEEE International Conference on Intelligent Engineering systems (INES)

作者： László Szőke Szilárd Aradi Tamás Bécsi Péter Gáspár Department of Control for Transportation and Vehicle Systems Budapest University of Technology and Economics H-1111 Budapest Hungary Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences H-1111 Budapest Hungary

ISBN: (数字)9781728110592

ISBN: (纸本)9781728110608

This work presents a powerful and intelligent driver agent, designed to operate in a preset highway situation using Policy Gradient Reinforcement Learning (RL) agent. Our goal is to create an agent that is capable of navigating safely in changing highway traffic and successfully accomplish to get through the defined section keeping the reference speed. Meanwhile, creating a state representation that is capable of extracting information from images based on the actual highway situation. The algorithm uses Convolutional Neural Network (CNN) with Long-Short Term Memory (LSTM) layers as a function approximator for the agent with discrete action space on the control level, e.g., acceleration and lane change. Simulation of Urban MObility (SUMO), an open-source microscopic traffic simulator is chosen as our simulation environment. It is integrated with an open interface to interact with the agent in real-time. The agent can learn from numerous driving and highway situations that are created and fed to it. The representation becomes more general by randomizing and customizing the behavior of the other road users in the simulation, thus the experience of the agent can be much more diverse. The article briefly describes the modeling environment, the details on the learning agent, and the rewarding scheme. After evaluating the experiences gained from the training, some further plans and optimization ideas are briefed.

关键词： Road transportation Learning (artificial intelligence) Vehicles Training Neural networks Aerospace electronics Acceleration

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