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Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm

IOP Conference Series: Materials Science and Engineering 2018年第3期382卷

作者： Zhonghua Han Xutian Tian Xiaofu Ma Shuo Lin Faculty of Information and Control Engineering Shenyang Jianzhu University Liaoning 110168 China Digital Factory Department Shenyang Institute of Automation CAS Shenyang 110016 China Information & Control Engineering Faculty Shenyang Jianzhu University Liaoning 110168 China Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA USA 24060

In order to solve the scheduling problems of Re-entrant Hybrid Flowshop (RHFS), this paper investigates the mathematical programming model of RHFS, and proposes the wolf pack based algorithm (WPA) as a global optimization method. Multi-Sticking Crape Masking procedure scheduling problems in painting workshop of a bus manufacturing enterprise are of typical features of RHFS. We regard it as an application objective of the proposed algorithm, applying WPA and multiple evolutionary algorithms to solve the problems. The results show that the algorithm can solve re-entrant scheduling problems of hybrid flowshop more effectively compared with other conventional methods.

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A Novel Line Feature Description and Matching Method for Visual-Aided Inertial Navigation System

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Journal of Physics: Conference Series 2019年第1期1267卷

作者： Xingxing Guang Yanbin Gao Pan Liu Guangchun Li College of Automation Harbin Engineering University Harbin 150001 China Department of Electrical and Computer Engineering University of Calgary Calgary AB T2N1N4 Canada Beijing Institute of Control and Electronic Technology Beijing 100032 China

With the rapid development of machine vision technology, more and more attention has been paid to the visual-aided inertial navigation system. It is important that to extract and track the line features at the dynamic situation in the visual-aided inertial navigation system which is based on visual line feature information to compensate attitude errors. A novel line feature description is proposed that use the SURF points to mark the LSD lines. Then, through coarse matching and fine matching, the function of continuously tracking the one line features in different images was realized. These line feature description and tracking method are applied in the visual-aided inertial navigation system, and its effectiveness is verified by the vehicle experiment.

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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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Testing designing an electrical device compliant with the electromagnetic compatibility directive

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IOP Conference Series: Materials Science and Engineering 2017年第1期227卷

作者： M Płaczek M Maćkowski P Nowak 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

The goal of presented work was to build an electronic device in order to test the effectiveness of different EMC-improving solutions. Three EMC tests were done in order to check the created device compliance with the electromagnetic compatibility directive. Each of them was conducted for both industrial and non-industrial parameters (voltage and field strength), according to IEC PN-EN 61000 standards. Three tests were done: conductive immunity test in EM clamp, radiated immunity test in GTEM chamber, radiated emission test in GTEM chamber. Firstly, the device's conductive immunity was examined. The set of possible solutions was created by examining existing designs, papers, books and producers' recommendations. In result, different component configurations were chosen to determine the most EMC-effective one. Next, electromagnetic compatibility of proposed device configurations was tested in the GTEM chamber (radiated immunity and radiated emission). Tests results are presented on charts and analysed in order to verify if designed device face requirements of the electromagnetic compatibility directive. It was verify which of proposed electromagnetic compatibility improving solutions can solve problems with electromagnetic compatibility.

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An exploratory study on machine learning to couple numerical solutions of partial differential equations

arXiv

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arXiv 2020年

作者： Tang, Hansong Li, L. Grossberg, M. Liu, Y.J. Jia, Y.M. Li, S.S. Dong, W.B. Civil Engineering Department City College of New York City University of New York New York10031 United States Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Computer Science City College of New York City University of New York New York10031 United States School of Mathematics Georgia Institute of Technology GA30332 United States School of Automation Science and Electrical Engineering Beihang University Beijing10083 China School of Hydraulic and Hydroelectric Engineering Xi'an University of Technology Shaanxi710048 China

As further progress in the accurate and efficient computation of coupled partial differential equations (PDEs) becomes increasingly difficult, it has become highly desired to develop new methods for such computation. In deviation from conventional approaches, this short communication paper explores a computational paradigm that couples numerical solutions of PDEs via machine-learning (ML) based methods, together with a preliminary study on the paradigm. Particularly, it solves PDEs in subdomains as in a conventional approach but develops and trains artificial neural networks (ANN) to couple the PDEs' solutions at their interfaces, leading to solutions to the PDEs in the whole domains. The concepts and algorithms for the ML coupling are discussed using coupled Poisson equations and coupled advection-diffusion equations. Preliminary numerical examples illustrate the feasibility and performance of the ML coupling. Although preliminary, the results of this exploratory study indicate that the ML paradigm is promising and deserves further research. Copyright © 2020, The Authors. All rights reserved.

关键词： Neural networks

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Analysis of Harmonics Detection and their Filtration by using Active Band Pass Filter for Domestic Appliances

Analysis of Harmonics Detection and their Filtration by usin...

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IEEE International Conference on automation Science and Engineering (CASE)

作者： Ehtisham Lodhi Zeeshan Lodhi Zhu Fenghua Gang Xiong Feiyue Wang Waheed ur Rehman Tariku Sinshaw The SKL for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad Campus Pakistan Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan Guangdong China Beijing Engineering Research Center of Intellectual System and Technology Chinese Academy of Sciences Beijing China College of Mechanical Engineering and Applied Electronics Technologies Beijing University of Technology Beijing China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

In modern era, one of the rising power quality (PQ) concern is harmonics distortion (HD). The HD is usually produced by increase in the utilization of nonlinear user loads at domestic level. It not only spoils the PQ but also have harmful effects on electrical appliances. So, this paper presents a new approach to mitigate the HD in home appliances rapidly by utilizing the active band pass filter (ABPF). The fast Fourier transform (FFT) technique is employed for the detection of harmonics in appliances. The band pass filter dramatically affects the response time of active filter. The suggested control methodology is capable to eliminate harmonics from distorted input voltage waveform and provides a pure sinusoidal waveform. The prototype of this model is also implemented. Experimental results along with simulation show that the proposed model is quite effective in eliminating HD despite load variations and also useful to compensate the reactive power in electronic home appliances. Hence, this technique is cost effective for domestic users with high quality performance in all aspects.

关键词： Power harmonic filters Harmonic analysis Band-pass filters Harmonic distortion Home appliances

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Preface

Communications in Computer and Information Science

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Communications in computer and Information Science 2017年 702卷 V-VI页

作者： Branco, Kalinka Pinto, Alex Pigatto, Daniel Institute of Mathematics and Computer Sciences University of São Paulo São CarlosSão Paulo Brazil Department of Control Engineering and Automation Federal University of Santa Catarina BlumenauSanta Catarina Brazil Federal University of Technology of Paraná CuritibaParaná Brazil

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HIGH-RISE BUILDINGS UNDER EARTHQUAKE EXCITATION: STABILIZATION USING SMC

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IFAC Proceedings Volumes 2006年第16期39卷 776-781页

作者： Georgi M. Dimirovski Jun Zhao Miomir K. Vukobratovic Dogus University Faculty of Engineering Dept. of Computer Engineering Acibadem Zeamet Sk. 21 Kadikoy TR-34722 Istanbul Rep. of Turkey Fax: ++90-216-327-9631 Tel: ++90-216-327-1104 SS Cyril and Methodius University Faculty of Electrical Engineering Rugjer Boskovic b.b. Karpos II MK-1000 Skopje Rep. of Macedonia Northestern University School of Information Science and Engineering Institute of Control Science Shenyang Liaoning CN-110004 P. R. of China Fax: ++86-24-8367-2273 Tel: ++86-24-2389-3000 Mihailo Pupin Institute Laboratory of Robotics & Automation Volgina 15 Karaburma 11000 F. R. Serbia and Montenegro Fax: ++381-11-2775-870 Tel: ++381-11-2774-236

The goal to control the dynamics of high-rise buildings either to ameliorate the damage or prevent their destruction when subject to an earthquake excitation has been subject of extensive research. All known control designs have advantages and disadvantages as well as operating limits. The application of sliding-mode control to controlling earthquake induced vibrations of a multi-story structural system as an active seismic compensation plus base isolation has been investigated. The performance has been compared to the one of traditional industrial controls, and relevant conclusions drawn. Simulation results, carried out using El Centro earthquake acceleration, have shown that the sliding mode control can decrease significantly displacements of the floors.

关键词： Earthquake sliding mode control structural systems vibration control

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Machine discovery of partial differential equations from spatiotemporal data

arXiv

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arXiv 2019年

作者： Yuan, Ye Li, Junlin Li, Liang Jiang, Frank Tang, Xiuchuan Zhang, Fumin Liu, Sheng Goncalves, Jorge Voss, Henning U. Li, Xiuting Kurths, Jürgen Ding, Han School of Artificial Intelligence and Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology Wuhan430074 China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm11428 Sweden School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta30332 United States School of Power and Mechanical Engineering Wuhan University Wuhan430074 China Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Luxembourg Centre for Systems Biomedicine University of Luxembourg BelvauxL-4367 Luxembourg Citigroup Biomedical Imaging Center Weill Cornell Medical College New York10021 United States Research Domain IV - Transdisciplinary Concepts & Methods Potsdam Institute for Climate Impact Research Potsdam14473 Germany School of Mechanical Science and Engineering State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology Wuhan430074 China

The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The method, called Sparse Spatiotemporal System Discovery (S3d), decides which physical terms are necessary and which can be removed (because they are physically negligible in the sense that they do not affect the dynamics too much) from a pool of candidate functions. The method is built on the recent development of Sparse Bayesian Learning;which enforces the sparsity in the to-be-identified PDEs, and therefore can balance the model complexity and fitting error with theoretical guarantees. Without leveraging prior knowledge or assumptions in the discovery process, we use an automated approach to discover ten types of PDEs, including the famous Navier-Stokes and sine-Gordon equations, from simulation data alone. Moreover, we demonstrate our data-driven discovery process with the Complex Ginzburg-Landau Equation (CGLE) using data measured from a traveling-wave convection experiment. Our machine discovery approach presents solutions that has the potential to inspire, support and assist physicists for the establishment of physical laws from measured spatiotemporal data, especially in notorious fields that are often too complex to allow a straightforward establishment of physical law, such as biophysics, fluid dynamics, neuroscience or nonlinear optics. Copyright © 2019, The Authors. All rights reserved.

关键词： Nonlinear optics

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An Efficient Evolutionary Algorithm for High-Speed Train Rescheduling Under a Partial Station Blockage

SSRN

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SSRN 2023年

作者： Wang, Rongsheng Zhang, Qi Dai, Xuewu Yuan, Zhiming Zhang, Tao Ding, Shuxin Jin, Yaochu China Academy of Railway Sciences Corporation Limited Beijing100081 China Signal and Communication Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Train Operation Control Laboratory for High-Speed Railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit Beijing100081 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Faculty of Technology Bielefeld University BielefeldD-33615 Germany Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom

This paper investigates the high-speed train rescheduling (HSTR) problem under a partial station blockage and proposes an efficient problem-specific strengthen elitist genetic algorithm (PS-SEGA) for HSTR. An HSTR model that is subject to train operation constraints is established to minimize the total train delay. The PS-SEGA framework consists of the following main steps. Firstly, a permutation-based encoding method is developed to define an efficient search space based on a train departure sequence. A decoding method is employed to output the rescheduled timetable and objective value based on the departure sequence. Moreover, a hybrid initialization method involving an efficient heuristic strategy (EHS) is put forward to accelerate the convergence speed of Evolutionary algorithms (EAs). Using problem-specific knowledge, EHS generates an efficient and feasible solution for the initial population. Finally, a restart strategy is presented to maintain genetic diversity. Compared with other advanced EAs and their improved variants also using the PS-SEGA framework, experimental results demonstrate the effectiveness of the proposed PS-SEGA for addressing HSTR scenarios under the partial station blockage. As for the scenarios that CPLEX can not obtain optimal solutions within 10 minutes, PS-SEGA can all provide quasi-optimal solutions in real-time. Furthermore, compared with the other two strategies (i.e., First-Scheduled-First-Served and EHS), PS-SEGA can find the best departure sequence that can output the timetable with a quasi-optimal solution. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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