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A multi-agent architecture for scheduling in platform-based smart manufacturing systems

Frontiers of Information Technology & Electronic engineering 2019年第11期20卷 1465-1492页

作者： Yong-kui LIU Xue-song ZHANG Lin ZHANG Fei TAO Li-hui WANG Center for Intelligent Manufacturing Systems and Robots School of Mechano-Electronic EngineeringXidian UniversityXi'an 710071China College of Computer Science and Technology Jilin UniversityChangchun 130012China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Production Engineering KTH Royal Institute of TechnologyStockholm 11428Sweden

During the past years, a number of smart manufacturing concepts have been proposed, such as cloud manufacturing, Industry 4.0, and Industrial Internet. One of their common aims is to optimize the collaborative resource configuration across enterprises by establishing platforms that aggregate distributed resources. In all of these concepts, a complete manufacturing system consists of distributed physical manufacturing systems and a platform containing the virtual manufacturing systems mapped from the physical ones. We call such manufacturing systems platform-based smart manufacturing systems (PSMSs). A PSMS can therefore be regarded as a huge cyber-physical system with the cyber part being the platform and the physical part being the corresponding physical manufacturing system. A significant issue for a PSMS is how to optimally schedule the aggregated resources. Multi-agent technology provides an effective approach for solving this issue. In this paper we propose a multi-agent architecture for scheduling in PSMSs, which consists of a platform-level scheduling multi-agent system (MAS) and an enterprise-level scheduling MAS. Procedures, characteristics, and requirements of scheduling in PSMSs are presented. A model for sched-uling in a PSMS based on the architecture is proposed. A case study is conducted to demonstrate the effectiveness of the proposed architecture and model.

关键词： Platform Smart manufacturing Multi-agent Scheduling

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Leveraging uncertainties for deep multi-modal object detection in autonomous driving

arXiv

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arXiv 2020年

作者： Feng, Di Cao, Yifan Rosenbaum, Lars Timm, Fabian Dietmayer, Klaus Robert Bosch GmbH Corporate Research Driver Assistance Systems and Automated Driving Renningen71272 Germany Institute of Measurement Control and Microtechnology Ulm University Ulm89081 Germany Department of Mechanical Engineering Karlsruher Institute of Technology Karlsruhe76049 Germany

This work presents a probabilistic deep neural network that combines LiDAR point clouds and RGB camera images for robust, accurate 3D object detection. We explicitly model uncertainties in the classification and regression tasks, and leverage uncertainties to train the fusion network via a sampling mechanism. We validate our method on three datasets with challenging real-world driving scenarios. Experimental results show that the predicted uncertainties reflect complex environmental uncertainty like difficulties of a human expert to label objects. The results also show that our method consistently improves the Average Precision by up to 7% compared to the baseline method. When sensors are temporally misaligned, the sampling method improves the Average Precision by up to 20%, showing its high robustness against noisy sensor inputs. Copyright © 2020, The Authors. All rights reserved.

关键词： Object recognition

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Hybrid Magnet Configuration to Reduce the Content of Rare Earth Elements in a PM-SynRel Machine

Hybrid Magnet Configuration to Reduce the Content of Rare Ea...

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IEEE Transportation Electrification Conference and Expo (ITEC)

作者： R. M. Ram Kumar Gaurang Vakil David Gerada Chris Gerada Krzysztof Paciura B. G. Fernandes Liang Yan Power Electronics Machines and Control Group University of Nottingham Nottingham U.K Cummins Corporate R&T Peterborough U.K Department of Electrical Engineering Indian Institute of Technology - Bombay Powai Mumbai India School of Automation science and Electrical Engineering Beihang University Beijing China

ISBN: (数字)9781728146294

ISBN: (纸本)9781728146300

An electric drive with reduced content of rare earth magnets is sought after by the manufacturers of electric vehicles (EVs). A ferrite based permanent magnet assisted synchronous reluctance (PM-SynRel) machine has emerged as a viable alternative to curtail the dependence on NdFeB PM. However, inadequate torque density and demagnetization withstand capability of these machines prevent them from being used in EVs. This paper aims at identifying topologies of PM-SynRel machine which exhibits adequate torque density and demagnetization withstand capability with reduced rare earth content. Tandem arrangement of NdFeB and ferrite PMs in the flux barriers reduces rare earth content and improves demagnetization withstand capability without a significant change in output torque. Based on this, NdFeB-Ferrite-NdFeB (NFN) and FNN topologies of PM-SynRel machine are deduced as favourable choices for the EV sector. Finally, a multiphysics optimization is implemented to ascertain the performance of both NFN and FNN topologies.

关键词： Torque Ferrites Optimization Rotors Demagnetization Benchmark testing

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Round-robin temporal scheduling of exponentially stabilizing controllers

Round-robin temporal scheduling of exponentially stabilizing...

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Asian control Conference

作者： Chinmay Maheshwari Sukumar Srikant Debasish Chatterjee Department of Mechanical Engineering Indian Institute of Technology Bombay Mumbai India Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9781728102634

We study the behavior of a control-affine nonlinear system under periodic switching of the active control channel. The periodic switching between the control channels is implemented in a round-robin fashion. We claim that if a globally exponentially stabilizing feedback controller is sparsified using the round-robin scheme and the control action to each channel is scaled appropriately, then the resulting system is stabilized. For numerical proof of concept, we illustrate the effect of such sparsification on a linearized model of a coupled inverted pendulum - simple harmonic oscillator system.

关键词： Differential equations Trajectory Standards Switches control design Wireless sensor networks

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The role of Azeri natural gas in meeting European Union energy security needs

The role of Azeri natural gas in meeting European Union ener...

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作者： Hasanov, Fakhri J. Mahmudlu, Ceyhun Deb, Kaushik Abilov, Shamkhal Hasanov, Orkhan King Abdullah Petroleum Studies and Research Center PO Box 88550 Riyadh11672 Saudi Arabia Research Program on Forecasting Economics Department The George Washington University 2115 G Street NW WADC 20052 United States Modeling Socio-economic Processes Institute of Control Systems 9 Bakhtiyar Vahabzadeh Baku1141 Azerbaijan Department of Government Cornel University 214 White Hall IthacaNY14853 United States Department of International Relations Baku Engineering University Hasan Aliyev 120 KhirdalanAZ0101 Azerbaijan Baku Engineering University Department of International Relations Hasan Aliyev 120 KhirdalanAZ0101 Azerbaijan

Meeting the European Union's natural gas demand will require increasing volumes of imports in the foreseeable future. Recognizing the need to ensure uninterrupted and secure supplies of natural gas imports at all times, the European Union (EU) has actively sought to diversify its sources of supply, including obtaining natural gas from Azerbaijan through the Southern Gas Corridor (SGC). In pursuit of this objective, the EU has provided financial support for parts of the Southern Gas Corridor. In this paper, a combination of cost economics and Rational Choice Intuitionalism (RCI) framework has been used to explain the policy choice made by the EU to support the SGC. We observe, that the choice of using the SGC as a supply source has been despite the relatively higher cost of delivery of Azeri natural gas into the EU. The motivation for the EU here is characterized by the strategic importance and part of its efforts to diversify sources of supply in the RCI framework. In this context, the EU is delivering energy security services to its member states who in turn have muted their sovereign rights in exchange for a diversity in the source of supply. This is possibly the only study that measures up the economic cost against choices made under RCI in natural gas security literature. © 2020 The Authors

关键词： Gases

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Transfer learning from language models to image caption generators: Better models may not transfer better

arXiv

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arXiv 2019年

作者： Tanti, Marc Gatt, Albert Camilleri, Kenneth P. Institute of Linguistics and Language Technology University of Malta Department of Systems and Control Engineering University of Malta

When designing a neural caption generator, a convolutional neural network can be used to extract image features. Is it possible to also use a neural language model to extract sentence prefix features? We answer this question by trying different ways to transfer the recurrent neural network and embedding layer from a neural language model to an image caption generator. We find that image caption generators with transferred parameters perform better than those trained from scratch, even when simply pre-training them on the text of the same captions dataset it will later be trained on. We also find that the best language models (in terms of perplexity) do not result in the best caption generators after transfer learning. Copyright © 2019, The Authors. All rights reserved.

关键词： Recurrent neural networks

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Big Bang Big Crunch based Near-Optimal Guidance Law for Interceptor Problem

Big Bang Big Crunch based Near-Optimal Guidance Law for Inte...

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International Conference on Electrical and Electronics engineering, ELECO

作者： Arunava Banerjee Mashuq un Nabi Tufan Kumbasar Department of Electrical Engineering Indian Institute of Technology New Delhi Delhi India Control and Automation Engineering Istanbul Technical University Istanbul Turkey

This paper proposes a time-energy near-optimal guidance law for missile-target engagement scenarios. The guidance law uses a nature inspired meta-heuristic optimization algorithm. The classical pure proportional navigation (PPN) guidance law is augmented with a polynomial function of heading error and the parameters of this guidance law are optimally tuned using Big-Bang Big-Crunch (BBBC) algorithm. The pro-posed BBBC tuned all aspect proportional navigation (BBBCPN) guidance law tackles the primary requirement of interception of the target and is also time-energy efficient. Along with initial high heading error, a constraint on the lateral acceleration of the missile is also considered. These two conditions are included to make the guidance problem more realistic and challenging. The proposed guidance law is compared with other standard guidance laws which establishes its effectiveness.

关键词： Missiles Navigation Sociology Statistics Linear programming Optimization Acceleration

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Design of Driving and Circulation System for Polar Ice Drilling with a Rolling Movable Teeth Transmission

Design of Driving and Circulation System for Polar Ice Drill...

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2019 2nd International Conference on Mechanical,Electronic and engineering Technology(MEET 2019)

作者： Li Lujia Li Songjing College of Construction Engineering Jilin UniversityJLU Department of Fluid Control and Automation Harbin Institute of TechnologyHIT

Cable-suspended electromechanical coring drills are widely used in polar ice coring drilling. Previously, when the drive and circulation system of the cable electromechanical coring drills used to be driven by a reduction transmission device, during the process of meshing, each pair of gear teeth was prone to fatigue damage due to the interaction vibration between the teeth. In addition, the high torque would cause the destruction of the deceleration transmission, and owing to the relatively short life, the reliability of the devicewould be poor. Because of the staff work in the polar region having an extreme cold and anoxic environment, the labor intensity of the personnel and number of maintenances of equipment should be minimized in polar drilling. Hence, it is paramount to improve the reliability of the reduction transmission device. In this study, the driving and circulation system for polar ice drilling was designed. A new type of transmission structure is proposed, namely, the rolling movable teeth reduction transmission device. There are prospects for application in the polar region.

关键词： Ice Drilling Driving and Circulation System Reduction Transmission Device Rolling Movable Teeth Transmission

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Vehicle Platoon control with Virtual Path Constraints

Vehicle Platoon Control with Virtual Path Constraints

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control Technology and Applications (CCTA),

作者： Jianwei Sun Rajan Gill Mechanical and Process Engineering Department Institute for Dynamic Systems and Control (IDSC) Zürich Switzerland

This paper studies distributed platoon control with virtual path constraints. Using transverse feedback linearization, the control approach decouples the platoon's dynamics into components tangential and transversal to the path. A platoon controller exclusively in the tangential subsystem controls the platoon's formation tangentially along the path, while a feedback control law in the transversal component stabilizes the platoon to remain on the path. As an application of the theory, a human-robot interaction experiment is performed on a platoon of quadrotors. The platoon leader implements an admittance controller, which allows the platoon to respond to human-applied forces. The path constraints limit the platoon's movement to only be along the path, ensuring safety to the interacting human.

关键词： Vehicle dynamics Feedback control Admittance Safety Manifolds Robot kinematics

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IoT System Data Quality Optimization:Research Status and Problem Analysis

IoT System Data Quality Optimization:Research Status and Pro...

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2019中国智能自动化大会(CIAC 2019)

作者： Haoyu Jiang Jiacheng Ji Quanbo Ge Chunxi Li Hangzhou Zhongheng Provincial Key Enterprise Research Institute of PowerCloud Logistics Engineering College Shanghai Maritime University Institute of Systems Science and Control Engineering School of Automation Hangzhou Dianzi University

The data processing problem is the continuous generation of time series data containing information on faults or *** pieces of information can be described by physical *** the means of manual analysis is not enough to solve the ***,on the basis of the experience of the IOT communication engineering,it is inevitable to develop a physical model which characterizes the performance and abnormal state of the system and machine learning to automatically analyze and process the data quality optimization *** development aims to solve the data quality optimization technology of the IoT system for energy and power services,and take into account the requirements of real-time processing indicators of massive data,laying the foundation for the introduction of service layer machine learning model.

关键词： Data processing Machine learning Data quality optimization

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