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arXiv 2018年

作者： Zhao, Yang Dehghan, Sina Ates, Abdullah School of Control Science and Engineering Center for Robotics Shandong University Jinan Shandong250061 China University of California Merced MercedCA95340 United States School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey

The design and application of learning feedforward controllers (LFFC) for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge is presented, and its effectiveness is evaluated. The control system consists of two components: 1) a preset PID component and 2) a learning feedforward component which is a function approximator that is adapted on the basis of the feedback signal. A B-spline network based LFFC and a low-pass filter based LFFC are designed to track the desired outlet temperature of evaporator secondary flux and the superheating degree of refrigerant at evaporator outlet. Encouraging simulation results are included. Qualitative and quantitative comparison results evaluations show that, with little effort, a high-performance control system can be obtained with this approach. Our initial simple attempt of low-pass filter based LFFC and B-spline network based LFFC give J=0.4902 and J=0.6536 relative to the decentralized PID controller, respectively. Besides, the initial attempt of a combination controller of our optimized PI controller and low-pass filter LFFC gives J=0.6947 relative to the multi-variable PID controller. Copyright © 2018, The Authors. All rights reserved.

关键词： Feedforward control

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Multi-view hybrid embedding: A divide-and-conquer approach

arXiv

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arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Random asynchronous iterations in distributed coordination algorithms

arXiv

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arXiv 2018年

作者： Chen, Yao Xia, Weiguo Cao, Ming Lü, Jinhu Department of Computer Science Southwestern University of Finance and Economics Chengdu611130 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China Faculty of Science and Engineering ENTEG University of Groningen Groningen9747 AG Netherlands School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

Distributed coordination algorithms (DCA) carry out information processing processes among a group of networked agents without centralized information fusion. Though it is well known that DCA characterized by an SIA (stochastic, indecomposable, aperiodic) matrix generate consensus asymptotically via synchronous iterations, the dynamics of DCA with asynchronous iterations have not been studied extensively, especially when viewed as stochastic processes. This paper aims to show that for any given irreducible stochastic matrix, even non-SIA, the corresponding DCA lead to consensus successfully via random asynchronous iterations under a wide range of conditions on the transition probability. Particularly, the transition probability is neither required to be independent and identically distributed, nor characterized by a Markov chain. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems

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A weighted-resampling based transfer learning algorithm

A weighted-resampling based transfer learning algorithm

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International Joint Conference on Neural Networks (IJCNN)

作者： Xiaobo Liu Zhentao Liu Guangjun Wang Zhihua Cai Harry Zhang School of Automation China University of Geosciences Wuhan China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Computer Science China University of Geosciences Wuhan China Faculty of Computer Science University of New Brunswick NB Canada

ISBN: (纸本)9781509061839

Transfer learning has attracted more and more attention, and many scholars proposed some useful strategies. Boosting is the main strategy for transfer learning. In boosting, resampling is preferred over reweighting, and it can be applied to any base learner. In this paper, we propose a weighted-resampling method for transfer learning, called TrResampling. Firstly, resampling is applied to the data with heaven weight in the source domain, and the resampled data is used with the target data as the training data to build a classifier. Then the TrAdaBoost algorithm is used to adjust the weights of source data and target data. We discuss Decision Tree, Naive Bayes, and SVM as the base learner in TrResampling, and choose the suitable for TrResampling. In order to illustrate the performance of the proposed algorithm, we compare TrResampling with the state-of-the-art algorithm TrAdaBoost and the base learner Decision Tree, experimental results on UCI data sets indicate that TrResampling is superior to TrAdaBoost and Decision Tree on many data sets.

关键词： Training data Boosting Machine learning algorithms Support vector machines Decision trees Training Electronic mail

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Gaussian pedestrian proxemics model with social force for service robot navigation in dynamic environment 17th

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17th International Conference on Asia Simulation, AsiaSim 2017

作者： Chik, Sheng Fei Yeong, Che Fai Su, Eileen Lee Ming Lim, Thol Yong Duan, Feng Tan, Jeffrey Too Chuan Tan, Ping Hua Chin, Patrick Jun Hua Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Centre for Artificial Intelligence and Robotics Universiti Teknologi Malaysia Johor Bahru Malaysia Malaysia Japan Institute of Technolgy Universiti Teknologi Malaysia Johor Bahru Malaysia Department of Automation College of Computer and Control Engineering Nankai University Tianjin China Institute of Industrial Science The University of Tokyo Tokyo Japan DF Automation and Robotics Sdn. Bhd Skudai Malaysia

ISBN: (纸本)9789811064623

Pedestrian motion behaves stochastically, causing difficulties in modelling the appropriate proxemics for effective and efficient service robot navigation. Intruding the pedestrian social space can affect the social acceptance of a service robot. In this paper, a new proxemics model, Social-Force Gaussian Pedestrian Proxemics Model is presented to model the pedestrian social space and to improve the service robot navigation in dynamic human environment. This model was simulated and validated in a pedestrian simulator with both low and high pedestrian density environments. Results showed that the proposed model (i) improved proxemics representation of pedestrians, (ii) enhanced the robot performance in respecting the social norm and (iii) increased the efficiency in achieving a given task. This paper also presents the methods for parameter selections for the model without the requirement of complex tuning. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Mobile robots

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Charged Particle Location Modeling Based Experiment Plan Acquisition Method

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Procedia computer science 2017年 104卷 592-597页

作者： Normunds Kante Mykola Kryshchuk Jurijs Lavendels Riga Technical University Faculty of Computer Science and Information Technology Kaļķu street 1 Rīga LV – 1658 Latvia National Technical University of Ukraine (Kiev Polytechnic Institute) Department of Automation and Control in Technical Systems 37 Prospect Peremogy Kiev 03056 Ukraine

The method of obtaining the plan of experiments in multidimensional space is proposed. Our method is based on assumptions of uniform distribution of charged particles in infinite space. To receive the plan of experiments, the infinite multidimensional space is replaced with a hypercube whose surface models influence of infinite space. The software is developed and practical results, in two-dimensional space are acquired. There are no basic problems to carry out calculations in multidimensional space.

关键词： Experiment plan Charged particle interaction Latin hypercube

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Iterative Method for Solving a System of Linear Equations

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Procedia computer science 2017年 104卷 133-137页

作者： Mykola Kryshchuk Jurijs Lavendels National Technical University of Ukraine (Kiev Polytechnic Institute) Department of Automation and Control in Technical Systems 37 Prospect Peremogy Kiev 03056 Ukraine Riga Technical University Faculty of Computer Science and Information Technology Kaļķu street 1 Rīga LV – 1658 Latvia

The systems of linear equations are a classic section of numerical methods which was already known BC. It reached its highest peak around 1600-1700 due to the public demand for solutions of technical and engineering tasks, nevertheless, it is still topical nowadays. This paper describes another iterative approach to solving linear systems, which is based in the multiple transfers of the solution proximity point towards the solution itself, simultaneously reducing the differences of all the system equations.

关键词： The systems of linear equations Iterative methods for solving systems of linear equations The requirements for the matrix of the equation system

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Electromagnetic compatibility tests of a measuring system based on MFC piezoelectric transducers

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IOP Conference Series: Materials science and Engineering 2018年第2期400卷

作者： M Placzek M Mackowski Silesian University of Technology Faculty of Mechanical Engineering Institute of Engineering Processes Automation and Integrated Manufacturing Systems Konarskiego 18A 44-100 Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Informatics Akademicka 16 44-100 Gliwice Poland

This paper discusses the issue of dependability of a measuring system from the electromagnetic compatibility (EMC) point of view. During the tests, the equipment for conducting electromagnetic compatibility tests was used. The tests were carried out in accordance with the EMC Directive 2014/30/EU and the harmonized standard IEC 61000-4-6. The measuring system equipped with non-classical piezoelectric transducers called MFC was considered. The MFC transducer was used as a sensor connected to the NI 9191 CompactDAQ Chassis. During the research, the influence of conducted disturbances on the transmission wire was examined. One of the elements of the test bench was an EM-clamp (providing both inductive and capacitive coupling) consisting of a tube of split ferrite rings of two different grades, which can be clamped over the cable under test in a non-invasive way.

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Dielectric cross-shaped resonator based metasurface for vortex beam generation in Mid-IR and THz wavelengths

arXiv

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arXiv 2019年

作者： Dharmavarapu, Raghu Izumi, Ken-Ichi Katayama, Ikufumi Ng, Soon Hock Vongsvivut, Jitraporn Tobin, Mark J. Kuchmizhak, Aleksandr Nishijima, Yoshiaki Bhattacharya, Shanti Juodkazis, Saulius Department of Electrical Engineering Indian Institute of Technology Madras Chennai600036 India Centre for Micro-Photonics Faculty of Science Engineering and Technology Swinburne University of Technology HawthornVIC3122 Australia Melbourne Centre for Nanofabrication ANFF 151 Wellington Road ClaytonVIC3168 Australia Physics Department Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan Infrared Microspectroscopy Beamline Australian Synchrotron ClaytonVIC3168 Australia Institute of Automation and Control Processes Far Eastern Branch Russian Academy of Sciences Vladivostok690041 Russia Far Eastern Federal University Vladivostok690090 Russia Department of Electrical and Computer Engineering Graduate School of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan Institute of Advanced Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan School of Materials and Chemical Technology Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo152-8550 Japan

Metasurfaces are engineered thin surfaces comprising two dimensional (2D) arrays of sub-wavelength spaced and sub-wavelength sized resonators. Metasurfaces can locally manipulate the amplitude, phase and polarization of light with high spatial resolution. In this study, we report numerical and experimental results of a vortex-beam-generating metasurface fabricated specifically for infrared (IR) and terahertz (THz) wavelengths. The designed metasurface consisted of a 2D array of dielectric cross-shaped resonators with spatially varying length, thereby providing desired spatially varying phase shift to the incident light. The metasurface was found to be insensitive to polarization of incident light. The dimensions of the cross-resonators were calculated using rigorous finite difference time domain (FDTD) analysis. The spectral scalability via physical scaling of meta resonators was demonstrated using two vortex generating optical elements operating at 8.8 μm (IR) and 0.78 THz (Terahertz). The vortex beam generated in the mid-IR spectral range was imaged using FTIR imaging miscroscope equipped with a focal plane array (FPA) detector. This design could be used for efficient wavefront shaping as well as various optical imaging applications in mid-IR spectral range, where polarization insensitivity is desired. Copyright © 2019, The Authors. All rights reserved.

关键词： Resonators

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