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arXiv 2020年

作者： Facchinei, F. Kungurtsev, Vyacheskav Lampariello, Lorenzo Scutari, Gesualdo Sapienza University of Rome Department of Computer Control and Management Engineering Antonio Ruberti Rome Italy Czech Technical University in Prague Department of Computer Science Faculty of Electrical Engineering Prague Czech Republic Roma Tre University Department of Business Studies Rome Italy Purdue University School of Industrial Engineering West-LafayetteIN United States

In this paper we first extend the diminishing stepsize method for nonconvex constrained problems presented in [4] to deal with equality constraints and a nonsmooth objective function of composite type. We then consider the particular case in which the constraints are convex and satisfy a standard constraint qualification and show that in this setting the algorithm can be considerably simplified, reducing the computational burden of each iteration. Copyright © 2020, The Authors. All rights reserved.

关键词： Constrained optimization

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Structural combinatorial of network information system of systems based on evolutionary optimization method

arXiv

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arXiv 2020年

作者： Zhang, Tingting Lan, Yushi Song, Aiguo Liu, Kun Wang, Nan Computer and military software engineering PLA Army Engineering University Nanjing China National defense key laboratory China Electronics Technology Group Corporation Nanjing China College of Instrument Science and Engineering Southeast University Nanjing China College of Command and Control Engineering PLA Army Engineering University Nanjing China

The network information system is a military information network system with evolution characteristics. Evolution is a process of replacement between disorder and order, chaos and equilibrium. Given that the concept of evolution originates from biological systems, in this article, the evolution of network information architecture is analyzed by genetic algorithms, and the network information architecture is represented by chromosomes. Besides, the genetic algorithm is also applied to find the optimal chromosome in the architecture space. The evolutionary simulation is used to predict the optimal scheme of the network information architecture and provide a reference for system construction. Copyright © 2020, The Authors. All rights reserved.

关键词： Genetic algorithms

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Structural Decomposition Approach to Design of No-Wait Cyclic Schedules for Repeatedly Operating Transport System Dedicated to Supply Loops

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IFAC-PapersOnLine 2020年第2期53卷 10542-10549页

作者： Robert Wójcik Arkadiusz Gola Jarosław Pempera Justyna Patalas-Maliszewska Department of Computer Engineering Faculty of Electronics Wrocław University of Science and Technology Wrocław Poland Institute of Technological Systems of Information Lublin University of Technology Lublin Poland Department of Control Systems and Mechatronics Faculty of Electronics Wrocław University of Science and Technology Wrocław Poland Institute of Mechanical Engineering University of Zielona Góra Zielona Góra Poland

The paper presents a method allowing to construct no-wait cyclical schedules for repetitive transport systems (e.g. the milk-run) servicing cyclic material supply loops in the production system using selected means of transport (e.g. AGVs). The transport means are following established routes and given arrival times. The routes are composed of sectors linking workstations. Transport trolleys may share specific sectors of the route in mutual exclusion mode and must wait in a given sector to enter the next sector of the route when another trolley occupies it. The job-shop repetitive transportation system is a system of cyclic processes with a fixed structure that are executing sequences of operations (routes) using shared resources (sectors). The work aims to find a no-wait cyclic schedule that guarantees the required delivery dates or establish that such a schedule does not exist. It considers cyclic process systems for which each resource can be used by at most two operations, and the deadlock state cannot occur as a result of waiting processes on shared resources. For specified initial operations of cyclic processes and their start times (the initial system state), the problem of determining no-wait cyclical schedules decomposes into subproblems. Each subproblem consists of the verification of necessary and sufficient conditions for the existence of solutions for each of 2-process subsystems composed of one shared resource and two processes using this resource. The method aims of prototyping various variants of process starting times for which the conditions guaranteeing no-wait property of the system hold simultaneously for each of the 2-process subsystems. It allows designing cyclic schedules for complex systems composed of 2-process subsystems that are structurally deadlock-free. The class of cyclical processes considered in this article is broader than the class of cascade-like (chain-like, sequential) process systems analysed so far in the literature. In this

关键词： repetitive delivery systems milk-run routing scheduling vehicle routing problem job-shop type transportation systems resource blocking deadlock problem no-wait cyclic schedule two cyclic processes with a shared resource decomposition of the system structure

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Structural combinatorial of network information system of systems based on evolutionary optimization ***

TechRxiv

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TechRxiv 2020年

关键词： Genetic algorithms

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Optimization-based on-road path planning for articulated vehicles

arXiv

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arXiv 2020年

作者： Oliveira, Rui Ljungqvist, Oskar Lima, Pedro F. Wahlberg, Bo Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Division of Automatic Control Linköping University Linköping Sweden Scania CV Autonomous Transport Solutions Södertälje Sweden

Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle’s bodies may exceed its assigned drive lane, resulting in an increased risk of collision with surrounding traffic. In this work, an optimization-based path-planning algorithm is proposed targeting on-road driving scenarios for articulated vehicles composed of a tractor and a trailer. To this end, we model the tractor-trailer vehicle in a road-aligned coordinate frame suited for on-road planning. Based on driving heuristics, a set of different optimization objectives is proposed, with the overall goal of designing a path planner that computes paths which minimize the off-track of the vehicle bodies swept area, while remaining on the road and avoiding collision with obstacles. The proposed optimization-based path-planning algorithm, together with the different optimization objectives, is evaluated and analyzed in simulations on a set of complicated and practically relevant on-road planning scenarios using the most challenging tractor-trailer dimensions. Copyright © 2020, The Authors. All rights reserved.

关键词： Motion planning

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Finding Maximal Independent Elements of Products of Partial Orders (The Case of Chains)

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Computational Mathematics and Modeling 2019年第1期30卷 7-12页

作者： Dyukova, E.V. Maslyakov, G.O. Prokof’ev, P.A. Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation Lomonosov Moscow State University Moscow Russian Federation Mechanical Engineering Research Institute of the Russian Academy of Sciences Moscow Russian Federation

We consider one of the central intractable problems of logical data analysis – finding maximal independent elements of partial orders (dualization of a product of partial orders). An important particular case is considered with each order a chain. If each chain is of cardinality 2, the problem involves the construction of a reduced disjunctive normal form of a monotone Boolean function defined by a conjunctive normal form. An asymptotic expression is obtained for a typical number of maximal independent elements of products for a large number of finite chains. The derivation of such asymptotic bounds is a technically complex problem, but it is necessary for the proof of existence of asymptotically optimal algorithms for the monotone dualization problem and the generalization of this problem to chains of higher cardinality. An asymptotically optimal algorithm is described for the problem of dualization of a product of finite chains. © 2019, Springer science+Business Media, LLC, part of Springer Nature.

关键词： asymptotically optimal algorithm dualization over products of partial orders irreducible covering of a Boolean matrix maximal independent element ordered covering of an integer matrix

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Bio-inspired control of automated stem cell production

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Procedia CIRP 2020年 88卷 600-605页

作者： Péter Egri Balázs Cs. Csáji Krisztián B. Kis László Monostori József Váncza Jelena Ochs Sven Jung Niels König Robert Schmitt Christian Brecher Simon Pieske Stephan Wein Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Kende u. 13-17 Budapest 1111 Hungary Fraunhofer Institute for Production Technology Steinbachstr. 17 Aachen 52074 Germany Laboratory for Machine Tools and Production Engineering (WZL) RWTH Aachen University Campus-Boulevard 30 Aachen 52074 Germany

The possible role of stem cells in medical treatments can hardly be overestimated. Today they are produced – almost without exemption – with significant human involvement using adaptive protocols that take the growth behavior of the biological material into account. Automated production platforms are being developed and tested in a number of research laboratories with the main goals of improving reproducibility, as well as increasing quality and throughput. However, automated stem cell production differs from the traditional manufacturing processes in (1) the inherent diversity of the products (stem cells), (2) their varying growth rates and process times, (3) the need for their regular observation and process adaptation, and, therefore, (4) for mixed-initiative production control. A distinctive feature of the domain is the symbiotic co-existence and co-evolution of the technical, ICT and biological ingredients in production structures. A challenging way to overcome these issues is the use of biologically-inspired control algorithms. In the paper the application of reinforcement learning is proposed for this purpose. As a first step, a digital simulation of the stem cell production was performed in order to generate patterns for the training process and to test the approach. In addition to the description of the concept, the paper also presents initial research results.

关键词： Stem cell production Digital simulation Machine learning Reinforcement-based control Biological transformation

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A Data Fusion Algorithm and Simulation Based on TQMM 11th

A Data Fusion Algorithm and Simulation Based on TQMM

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11th EAI International Conference on Simulation Tools and Techniques, SIMUTools 2019

作者： Zhang, Ke Wang, Zeyang Li, Huiling School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Chengdu610000 China Sichuan Jiuzhou Electronic Technology Co. Ltd. Mianyang621000 China School of Communication and Information Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9783030322151

Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms. © ICST Institute for computer sciences, Social Informatics and Telecommunications engineering 2019.

关键词： Sensor data fusion

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Human-perception-oriented pseudo analog video transmissions with deep learning

arXiv

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arXiv 2020年

作者： Tang, Xiao-Wei Huang, Xin-Lin Hu, Fei Shi, Qingjiang Department of Control Science and Engineering Tongji University Shanghai201804 China Department of Information and Communication Engineering Tongji University Shanghai201804 China Department of Electrical and Computer Engineering University of Alabama TuscaloosaAL35487 United States School of Software Engineering Tongji University Shanghai201804 China

Recently, pseudo analog transmission has gained increasing attentions due to its ability to alleviate the cliff effect in video multicast scenarios. The existing pseudo analog systems are optimized under the minimum mean squared error criterion. However, their power allocation strategies do not take the perceptual video quality into consideration. In this paper, we propose a human-perception-based pseudo analog video transmission system named ROIC-Cast, which aims to intelligently enhance the transmission quality of the region-of-interest (ROI) parts. Firstly, the classic deep learning based saliency detection algorithm is adopted to decompose the continuous video sequences into ROI and non-ROI blocks. Secondly, an effective compression method is used to reduce the data amount of side information generated by the ROI extraction module. Then, the power allocation scheme is formulated as a convex problem, and the optimal transmission power for both ROI and non-ROI blocks is derived in a closed form. Finally, the simulations are conducted to validate the proposed system by comparing with a few of existing systems, e.g., KMV-Cast, SoftCast, and DAC-RAN. The proposed ROIC-Cast can achieve over 4.1dB peak signal-to-noise ratio gains of ROI compared with other systems, given the channel signal-to-noise ratio as -5dB, 0dB, 5dB, and 10dB, respectively. This significant performance improvement is due to the automatic ROI extraction, high-efficiency data compression as well as adaptive power allocation. Copyright © 2020, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Pattern Recognition with Antiferromagnet-heavy Metal Hybrid Structure

Pattern Recognition with Antiferromagnet-heavy Metal Hybrid ...

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： A. Yu. Mitrofanova A. R. Safin D. P. Egorov O. V. Kravchenko N. I. Bazenkov Bauman Moscow State Technical University 2 Baumanskaya Street Moscow Russia Russian Academy of Sciences Mokhovaya 11-7 Kotel’nikov Institute of Radioengineering and Electronics Moscow Russia Moscow Power Engineering Institute 14 Krasnokazarmennaya Street Moscow Russia Federal Research Center “Computer Science and Control” of RAS Vavilova Street 40 Moscow Russia V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences 65 Profsoyuznaya Street Moscow Russia

ISBN: (纸本)9781665409889

Nowadays, there is a great interest in artificial intelligence. One of its popular branches is deep learning, based on the neural networks consisting of artificial neurons, which are adders with a nonlinear activation function. This approach requires large amounts of training data. For example, computer vision contains different tasks of this nature, where one of the well-known problems is recognizing images of handwritten numbers. Various approaches to training convolutional neural networks on the MNIST database show less than 0.5% error. Another area of artificial intelligence is neuromorphic computing, whose goal is to build biologically plausible models of neurons in the human brain. The motivation for the approach of neuromorphic computation is that accurate modeling of biological neurons will allow solving many problems, in particular, control problems, with the same accuracy the human does. Moreover, it opens up the possibility of creating electrical circuits that mimic the behavior of biological neurons, which will reduce energy consumption. In particular, the physical realization of neurons can be coupled oscillators that are ubiquitous in nature. The phase or frequency of the oscillators contains information that allows development of such computational schemes. In this paper, a hybrid antiferromagnetic-heavy metal structure is used to solve the problem of image recognition. During the model training the coupling coefficients of the oscillators are calculated so that pairs of oscillators corresponding to different pixel values oscillate asynchronously, and the oscillators reacting to the same value set the oscillation mode in phase. Pattern recognition error is estimated depending on the number of neurons, patterns, and signal-to-noise ratio (SNR).

关键词： Training Image recognition Computational modeling Neurons Metals Synchronization Task analysis

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