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International Conference on Environment and Electrical Engineering (EEEIC)

作者： Pedro H. G. Gomes Wesley P. Calixto Messias A. A. Faria Priscilla A. J. Stecanella Aylton J. Alves Elder G. Domingues Program in Electronic Systems and Automation (PGEA) University of Brasilia (UnB) Brasilia Brazil Experimental and Technological Research and Study Group (NExT) Federal Institute of Goias (IFG) Goiania Brazil Program in Sustainable Process Technology Federal Institute of Goias (IFG) Brasilia Brazil

ISBN: (纸本)9781479979943

With following world demand for electricity and increasing scarcity of natural energy resources, it is imperative to search for alternative methods for electricity production or increasing the efficiency of existing processes. The use of Seebeck modules have been shown the green output of power cogeneration using waste heat energy. Furthermore, the overall conversion efficiency of thermal energy into electric by this system is about 5%, a factor that discourages the high costs embedded. The goal of this work aims to seek increased efficiency in thermal-electrical conversion indeed by Seebeck modules (TEG), starting from a geometry optimization of hot gases exhaust duct. The duct thickness was varied lengthwise to flow and from a heuristic optimization process, good results of surface equalization temperature was found by finite element simulations. A low surface temperature gradient allows TEG working near the maximum efficiency condition, distant of mechanical failure.

关键词： Ducts Optimization Generators Geometry Heat transfer Cogeneration

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Modeling and fuzzy control for complex flexible nonlinear systems with time-delay

Modeling and fuzzy control for complex flexible nonlinear sy...

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2nd International Conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2014

作者： Chen, Jin Xiang State Key Laboratory of Hybrid Process Industry Automation Systems and Equipment Technology Automation Research and Design Institute of Metallurgical Industry China Iron and Steel Research Institute Group Beijing 100081 China

ISBN: (纸本)9783038351948

A time-delay discrete-time fuzzy singularly perturbed modeling and fuzzy state feedback control approach are presented for a class of complex flexible nonlinear systems with time-delay. The considered flexible nonlinear system is firstly described by a time-delay standard discrete-time fuzzy singular perturbation model. A fuzzy state feedback control law is secondly design. By using a matrix spectral norm and linear matrix inequalities approach, the sufficient conditions of the controller existence are divided. The provided controller not only can stabilize the resulting closed-loop system but also overcome the effects caused by both time-delay and external disturbances. A simulation example is given to illustrate the effectiveness of the developed result. © (2014) Trans Tech Publications, Switzerland.

关键词： Time delay

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Sliding mode control for a class of nonlinear systems with application to a wheeled mobile robot

Sliding mode control for a class of nonlinear systems with a...

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IEEE Annual Conference on Decision and control

作者： Jianqiu Mu Xing-Gang Yan Bin Jiang Sarah K. Spurgeon Zehui Mao Instrumentation Control and Embedded Systems Research Group School of Engineering & Digital Arts University of Kent CT2 7NT Canterbury United Kingdom College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

ISBN: (纸本)9781479978878

In this paper, a generalised regular form for sliding mode control is proposed for a class of nonlinear systems. A novel approach to design nonlinear sliding surfaces based on this generalised regular form is presented using global implicit function theory such that the resulting sliding motion is globally asymptotically stable. Sliding mode controllers are designed to drive the system to the sliding surface and maintain a sliding motion thereafter. Both matched and mismatched uncertainties are considered. Then, the developed results are applied to the tracking control of a two wheeled mobile robot. The model-based tracking problem under study is initially transferred to a stabilization problem. Simulation results demonstrate that the tracking error system is globally asymptotically stable even in the presence of both matched and mismatched uncertainties.

关键词： wheeled mobile robots Variable structure systems Slip surfaces unmatched uncertainty error system tracking control MISMATCH

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Formation control of UGVs using an UAV as remote vision sensor 19

Formation control of UGVs using an UAV as remote vision sens...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Hernandez, Andres Copot, Cosmin Cerquera, Juan Murcia, Harold De Keyser, Robin Department of Electrical Energy Systems and Automation Ghent University Belgium Department of Automation and Industrial Control D+TEC Research Group Universidad de Ibague Colombia

ISBN: (纸本)9783902823625

A leader-follower formation control scheme based on SRV-1 UGVs and an AR. DRONE 2.0 UAV as remote vision sensor is presented in this paper. The main advantage of the proposed strategy lies on the flexibility obtained from a flight remote sensor, as it makes possible to locate the agents at larger distances between them or to extend more easily the number of agents in the formation. A full description of the internal control designed for the UGVs and the UAV is presented, including the image processing procedure implemented to robustly measure the pose of the vehicles in the formation. Finally, experimental results using a triangular formation of three ground robots illustrates the effectiveness of the proposed control scheme. © IFAC.

关键词： Aircraft control

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Fault tolerant control of a small helicopter with tail rotor failures in forward flight 19

Fault tolerant control of a small helicopter with tail rotor...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Rajendran, Sulakshan Gu, Da-Wei Control Systems Research Group Department of Engineering University of Leicester United Kingdom Department of Power Electronics and Automation China Three Gorges University Hubei China

ISBN: (纸本)9783902823625

Tail rotor failure is one of the major failures occurring frequently and causing accidents. In this paper we investigate Tail Rotor control Failure(TRCF) based on helicopter dynamic models. There is no notable work reported in the literature on control of a small helicopter with TRCF. In contrast to hover mode, forward flight improves yaw damping naturally. The yaw damping is investigated at hover mode and in forward flight. Multi-loop PID controller, Fuzzy PID controller and full state feedback controller based on LQR are designed as per ADS-33PRF requirements to control the helicopter when the tail rotor control failure occurs in forward flight. Robustness in terms of stabilizing ability of developed controllers is also analyzed. All developed control schemes are tested in Matlab/Simulink environment including linear as well as non-linear simulations. © IFAC.

关键词： controllers

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Formation control of UGVs using an UAV as Remote Vision Sensor

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IFAC Proceedings Volumes 2014年第3期47卷 11872-11877页

作者： Andres Hernandez Cosmin Copot Juan Cerquera Harold Murcia Robin De Keyser Department of Electrical energy Systems and Automation Ghent University Belgium Department of Automation and Industrial Control D+TEC research group Universidad de Ibague Colombia

A leader-follower formation control scheme based on SRV-1 UGVs and an *** 2.0 UAV as remote vision sensor is presented in this paper. The main advantage of the proposed strategy lies on the flexibility obtained from a flight remote sensor, as it makes possible to locate the agents at larger distances between them or to extend more easily the number of agents in the formation. A full description of the internal control designed for the UGVs and the UAV is presented, including the image processing procedure implemented to robustly measure the pose of the vehicles in the formation. Finally, experimental results using a triangular formation of three ground robots illustrates the effectiveness of the proposed control scheme.

关键词： Autonomous vehicles Closed-loop control computer vision flight control

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Trajectory-based fault accommodation in winder turbine systems 10

Trajectory-based fault accommodation in winder turbine syste...

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10th UKACC International Conference on control, control 2014

作者： Jain, Tushar Yamé, Joseph J. Sauter, Dominique Aalto University Research Group of Process Control and Automation School of Chemical Technology Kemistintie 1 AaltoFI-00076 Finland Centre de Recherche en Automatique de Nancy CRAN-CNRS Université de Lorraine Vandoeuvre-les-Nancy54506 France

ISBN: (纸本)9781479950119

This paper presents a trajectory-based online controller reconfiguration mechanism to tolerate faults in a wind turbine (WT) system. The system is a benchmark WT model which includes FAST coded simulator designed by the U.S. National Renewable Energy Laboratory's. The novelty of the proposed mechanism is that no a priori information about the model of the turbine is used in real-time. Instead, we use online measurements generated by the WT, which in fact captures the behaviour of the wind turbine. Based on the given control specifications, and the observed measurements an occurring fault is accommodated by reconfiguring the controller such that the WT generates the rated power even under faulty conditions. © 2014 IEEE.

关键词： Wind turbines

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Fault Tolerant control of a Small Helicopter with Tail Rotor Failures in Forward Flight

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IFAC Proceedings Volumes 2014年第3期47卷 8843-8848页

作者： Sulakshan Rajendran Da-wei Gu Control Systems Research Group Department of Engineering University of Leicester UK Department of Power Electronics and Automation China Three Gorges University Hubei People's Republic of China

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Synchronising second-order multi-agent systems under dynamic topology via reference model-based algorithm

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Journal of control and Decision 2014年第3期1卷 214-225页

作者： Jiahu Qin Huijun Gao Tasawar Hayat Fuad E.Alsaadi Department of Automation University of Science and Technology of ChinaHefeiChina Research School of Engineering Australian National UniversityCanberraAustralia Research Institute of Intelligent Control and Systems Harbin Institute of TechnologyHarbinChina Nonlinear Analysis and Applied Mathematics Group King Abdulaziz University(KAU)JeddahSaudi Arabia Faculty of Engineering Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Quaid-I-Azam UniversityIslamabadPakistan

This paper revisits the synchronisation problem for second-order multi-agent systems(MASs)under dynamically changing communication *** employing the reference model-based synchronisation algorithm,it is finally shown that synchronisation for both the position and velocity states can be achieved if the union of the communication topologies has a directed spanning tree frequently *** extends the existing results obtained for second-order MASs which exploits mild communication topology condition guaranteeing the synchronisation to a more general *** analysis is successfully performed by exploiting the product properties of row-stochastic matrices,which can also provide us with an estimate the convergence rate towards the synchronisation.

关键词： synchronisation double-integrator agents weakest possible communication topology rate of convergence

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