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17th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017 and 3rd International Workshop on Nano-scale Computing and Communications, NsCC 2017

作者： Pourabdollah, Elham Mohammadi Asl, Reza Tsiligiridis, Theodore Information Technology Engineering Department Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Control Engineering Department Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Informatics Laboratory Department of Economics and Rural Development Agricultural University of Athens Athens Greece

ISBN: (纸本)9783319673790

In this research we propose a new clustering scheme based on a combination of a well known stochastic, population-based Gravitational Search Algorithm (GSA) and the k-means algorithm to select optimal reference nodes in a Wireless Sensor Networks (WSN). In the proposed scheme the process of grouping sensors into clusters reference nodes is based on a K-means clustering algorithm to divide the initial population and select the best position in the neighbourhood to exchange information between clusters. In cases when sensor nodes receive multiple synchronization messages from more than one reference node a weighted average method is used. In this paper we limit our research on a number of benchmark functions which are used to compare the performance of the proposed algorithm with other important meta-heuristic algorithms to show its superiority. © 2017, Springer International Publishing AG.

关键词： Sensor nodes

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Sensorless nonlinear control of fed-batch Escherichia coli cultivation bioprocess using the state-dependent approach 12th

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12th Portuguese Conference on automatic control, controlO 2016

作者： Iratni, Abdelhamid Araújo, Rui Rastegar, Saeid Mostefai, Mohammed Faculty of Science and Technology Electrical Engineering Department University of Bordj Bou Arreridj El Anasser Algeria Department of Electrical and Computer Engineering Institute for Systems and Robotics University of Coimbra Coimbra Portugal Automatic Control Laboratory of Setif Electrical Engineering Department Faculty of Technology University of Setif1 Sétif Algeria

ISBN: (纸本)9783319436708

The cultivation of Escherichia coli bacteria is widely used by geneticists and biopharmaceuticals to produce medicines and vaccines. In such industries, Bioprocesses are known by their harsh environment and very expensive physical sensors. This paper deals with nonlinear estimation and control of fed-batch Escherichia coli bioprocess. Enhancing the process performance and maximizing its efficiency by optimizing the control of Escherichia coli cultures depends on the availability of appropriate online sensors for the main culture components. In this study, an innovative method for nonlinear estimation and control of bioprocesses is designed and assessed. The new algorithm for control and estimation of Escherichia coli bioprocess states, based on the State-Dependent Riccati Equation technique, is validated by numerical simulation. The results obtained clearly demonstrate the effectiveness of the proposed technique for Biosystems in measuring, monitoring, and control of their natural nonlinear dynamics. © Springer International Publishing Switzerland 2017.

关键词： Extended Kalman filters

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Decentralized decision making for networks of uncertain systems

arXiv

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arXiv 2018年

作者： Darivianakis, Georgios Georghiou, Angelos Lygeros, John Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich ZurichCH-8092 Switzerland Desautels Faculty of Management McGill University MontrealQCH3A 1G5 Canada

Distributed model predictive control (MPC) has been proven a successful method in regulating the operation of large-scale networks of constrained dynamical systems. This paper is concerned with cooperative distributed MPC in which the decision actions of the systems are usually derived by the solution of a system-wide optimization problem. However, formulating and solving such large-scale optimization problems is often a hard task which requires extensive information communication among the individual systems and fails to address privacy concerns in the network. Hence, the main challenge is to design decision policies with a prescribed structure so that the resulting system-wide optimization problem to admit a loosely coupled structure and be amendable to distributed computation algorithms. In this paper, we propose a decentralized problem synthesis scheme which only requires each system to communicate sets which bound its states evolution to neighboring systems. The proposed method alleviates concerns on privacy since this limited communication scheme does not reveal the exact characteristics of the dynamics within each system. In addition, it enables a distributed computation of the solution, making our method highly scalable. We demonstrate in a number of numerical studies, inspired by engineering and finance, the efficacy of the proposed approach which leads to solutions that closely approximate those obtained by the centralized formulation only at a fraction of the computational effort. Copyright © 2018, The Authors. All rights reserved.

关键词： Optimization

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Streaming electrification phenomena generated in the swinging system

Streaming electrification phenomena generated in the swingin...

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electrical Insulation Conference and electrical Manufacturing & Coil Winding Conference

作者： Dariusz Zmarzły Paweł Frącz Tomasz Boczar Department of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland

The paper presents the results of experimental investigations on streaming electrification in a swinging cylinder system. Mineral transformer oil is used as a dielectric liquid in which the electrification process occurs. A shuttle system with a swinging cylinder is proposed to study the flow electrification phenomena. Some measurements and analyses are presented in the shuttle system. The analysis includes a determination of the influence of the frequency and amplitude of pendulum oscillation on the electrification signal. The power spectral densities, spectrograms and continuous wavelet transform were also used to assess the frequency and time-frequency characteristics of the measured signals.

关键词： Electrodes Oils Spectrogram Angular velocity Power transformer insulation Oil insulation

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automatic recognition of anatomical regions in computed tomography images

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2018年第4期62卷 117-125页

作者： Tóth, Márton József Ruskó, László Csébfalvi, Balázs Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics körútja 2 Budapest Magyar tudósokH-1117 Hungary GE Hungary Healthcare Division Petőfi Sándor sgt 10 SzegedH-6722 Hungary

This paper presents a method that can recognize anatomy regions in Computed Tomography (CT) examinations. In this work the human body is divided into eleven regions from the foot to the head. The proposed method consists of two main parts. In the first step, a Convolutional Neural Network (CNN) is used to classify the axial slices of the CT exam. The accuracy of the initial classification is 93.4 %. As the neural network processes the axial slices independently from each other, no spatial coherence is guaranteed. To ensure the contentious labeling the initial classification step is followed by a post-processing method that incorporates the expected order and size of the anatomical regions to improve the labeling. In this way, the accuracy is increased to 94.0 %, the confusion of non-neighboring regions dropped from 1.5 % to 0.0 %. This means that a continuous and outlier free labeling is obtained. The method was trained on a set of 320 CT exams and evaluated on another set of 160 cases. © 2018 Budapest University of Technology and Economics. All Rights Reserved.

关键词： Image classification

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Modeling and control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics During Grasping

Modeling and Control of Multi-Arm and Multi-Leg Robots: Comp...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Niels Dehio Joshua Smith Dennis Leroy Wigand Guiyang Xin Hsiu-Chin Lin Jochen J. Steil Michael Mistry Research Institute for Robotics and Process Control (IRP) Technical University Braunschweig Germany School of Informatics University of Edinburgh United Kingdom Faculty of Technology Bielefeld University Germany School of Mechanical and Electrical Engineering Central South University China

We consider a virtual manipulator in grasping scenarios which allows us to capture the effect of the object dynamics. This modeling approach turns a multi-arm robot into an underactuated system. We observe that controlling floating-base multi-leg robots is fundamentally similar. The Projected Inverse Dynamics control approach is employed for decoupling contact consistent motion generation and controlling contact wrenches. The proposed framework for underactuated robots has been evaluated on an enormous robot hand composed of four KUKA LWR IV+ representing fingers cooperatively manipulating a 9kg box with total 28 actuated DOF and six virtual DOF representing the object as additional free-floating robot link. Finally, we validate the same approach on ANYmal, a floating-base quadruped with 12 actuated DOF. Experiments are performed both in simulation and real world.

关键词： Grasping Dynamics Task analysis Jacobian matrices Manipulator dynamics

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Optimal multicast subgrouping in mobility-aware 5G systems: Challenges, modeling, and opportunities 12

Optimal multicast subgrouping in mobility-aware 5G systems: ...

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Selected Papers of the 12th International Workshop on Applied Problems in Theory of Probabilities and Mathematical Statistics (Summer Session) in the Framework of the Conference on Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems, APTP+MS 2018

作者： Beschastnyi, Vitalii A. Ostrikova, Darya Yu. Zeifman, Alexander I. Gudkova, Irina. A. 6 Miklukho-Maklaya St. Moscow117198 Russia Department of Applied Mathematics Vologda State University 6 Orlova St. Vologda160000 Russia Institute of Informatics Problems Federal Research Center Computer Science and Control of the Russian Academy of Sciences 44-2 Vavilov St. Moscow119333 Russia Faculty of Electrical Engineering and Communication Brno University of Technology 3058/10 Technická Brno61600 Czech Republic

The expected growth in the mobile video (including streaming video, video downloading, conferencing, etc.) now is the key driver for rapid development of 5G wireless network technologies. This paradigm forces wireless networks to manage their resources as effectively as possible. One of the most appropriate solutions for video traffic that may provide the sufficient spectral efficiency is multicasting. Multicast sessions allows a group of users to simultaneously access the same multimedia content with the same QoE parameters. In this paper we consider different methods of multicast subgrouping. An analytical framework in the from of a queuing network is proposed to study the network performance, and a comparative study of network performance metrics under different user movement scenarios is presented. Copyright © 2018 for the individual papers by the papers' authors.

关键词： Multicasting

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Dynamic modeling using system identification and attitude control design of GaneFly flapping wings micro aerial vehicle (FWMAV) 7

Dynamic modeling using system identification and attitude co...

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7th IEEE International Conference on System engineering and Technology, ICSET 2017

作者： Benyamin, R. S. Brian Nugroho, Muhammad Aldo Aditiya Sepri, A. Yosua Trilaksono, Bambang Riyanto Moelyadi, Agoes Laboratory of Control Systems and Computer School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung40132 Indonesia Aeronautics and Astronautics Faculty of Mechanical and Aerospace Engineering Bandung Institute of Technology Bandung40132 Indonesia

ISBN: (纸本)9781538603833

Flapping Wings MAV (FWMAV) is the result of UAV technology development with the mechanism of flapping wings and with the dimensions of the object as small as possible. Modeling of FWMAV dynamics is needed to predict future conditions based on information from current conditions and designed control actions. Modeling of the FWMAV system is done by system identification, based on measurable data from IMU sensors. Modeling is done each with a black-box approach using the N4SID estimation, while the grey-box approach is used structure parametric, using SSEST estimation. Then a fit model of these two models is compared by plotting the Paparazzi log with the output of the system obtained in MATLAB for the same input. Then this model will be simulated on SIMULINK. The automated PID Tuning is perform to obtain PID constants to be implemented into Paparazzi software for Pitch Loop and Roll Loop. © 2017 IEEE.

关键词： Simulink

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Design and implementation of attitude stabilization on Ganefly flapping wings micro aerial vehicle using Paparazzi 7

Design and implementation of attitude stabilization on Ganef...

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7th IEEE International Conference on System engineering and Technology, ICSET 2017

作者： Nugroho, Muhammad Aldo Aditiya Sepri, A. Yosua Benyamin, R. S. Brian Trilaksono, Bambang Riyanto Moelyadi, Agoes Laboratory of Control Systems and Computer School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung40132 Indonesia Aeronautics and Astronautics Faculty of Mechanical and Aerospace Engineering Bandung Institute of Technology Bandung40132 Indonesia

ISBN: (纸本)9781538603833

Flapping Wings Micro Aerial Vehicle (FWMAV) is developed from MAV (Micro Aerial Vehicle) technology, which uses flapping wing mechanism to fly rather than rotors. MAV itself is a branch of UAV (Unmanned Aerial Vehicle) technology, and focuses on minimizing size and weight of the aircraft. Ganefly is an FWMAV with capability to fly autonomously based on GPS readings and waypoints input from the user. This autopilot system works in conjunction with other parts of the control systems in Ganefly, which also includes attitude stabilization system. Ganefly uses yaw control loop for horizontal attitude stabilization, because Ganefly does not use aileron to control roll, unlike usual aircrafts. The stabilization system is implemented using standard PID control and Paparazzi UAV firmware, on a Lisa/S autopilot board. Testing for stabilization system was done in Manual and Stabilization mode, and testing for autopilot mode was done in Autopilot mode. Results gathered from testing indicate that Ganefly in its flight is not horizontally stable in both Manual and Stabilization mode, and thus was not able to be tested on Autopilot mode. © 2017 IEEE.

关键词： Stabilization

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Effects of complex motion in a new cantilever-beam nonlinear electromagnetic vibration energy harvester 18

Effects of complex motion in a new cantilever-beam nonlinear...

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18th International Symposium on Electromagnetic Fields in Mechatronics, electrical and Electronic engineering, ISEF 2017

作者： Jagiela, Mariusz Kulik, Marcin Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

ISBN: (纸本)9781538616611

A new cantilever-beam nonlinear electromagnetic vibration energy harvester with noticeable effects of complex motion composed of relative displacement and torsion of the vibrating element is considered. The analysis of frequency characteristics carried out using the finite element models shows significant differences regarding generated output voltage and frequency bandwidth when detailed 2-d variations of the magnetic force components are taken into account. © 2017 IEEE.

关键词： Energy harvesting

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