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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  1/2012 - 6

Cyber Physical Systems: A New Approach to Power Electronics Simulation, Control and Testing

CELANOVIC, N. L. See more information about CELANOVIC, N. L. on SCOPUS See more information about CELANOVIC, N. L. on IEEExplore See more information about CELANOVIC, N. L. on Web of Science, CELANOVIC, I. L. See more information about  CELANOVIC, I. L. on SCOPUS See more information about  CELANOVIC, I. L. on SCOPUS See more information about CELANOVIC, I. L. on Web of Science, IVANOVIC, Z. R. See more information about IVANOVIC, Z. R. on SCOPUS See more information about IVANOVIC, Z. R. on SCOPUS See more information about IVANOVIC, Z. R. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,055 KB) | Citation | Downloads: 1,000 | Views: 3,484

Author keywords
power electronics, real-time systems, hybrid intelligent systems, computational modeling, observers

References keywords
power(14), systems(8), simulation(8), time(6), hybrid(6), hardware(6), electronics(6), loop(5), design(5), real(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 33 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01006
Web of Science Accession Number: 000301075000006
SCOPUS ID: 84860731188

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This paper presents a Cyber Physical Systems approach to power electronics simulation, control and testing. We present a new framework based on generalized hybrid automaton and application specific ultra-low latency high-speed processor architecture that enables high fidelity real-time power electronics model computation. To illustrate the performance of this approach we experimentally demonstrate two extremely computationally demanding power electronics applications: real-time emulation for Hardware-in-the-Loop (HIL) testing, and hybrid system observers for fault detection and isolation.

References | Cited By  «-- Click to see who has cited this paper

[1] E. A. Lee. "Cyber physical systems: design challenges," in Proc. International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), May 2008, pp. 363-369.

[2] V.Dinavahi, M. Iravani, R. Bonert," Real-time digital simulation of power electronic apparatus interfaced with digital controllers," IEEE Trans. Power Del., vol.16, no.4, pp. 775-781, Oct. 2001.
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[3] A. Myaing, and V. Dinavahi, "FPGA-based real-time emulation of power electronics systems with detailed representation of device characteristics," IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 358-368, Jan. 2011.
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[4] S. Karimi, P. Poure, S. Saadate, "An HIL-based reconfigurable platform for design, implementation, and verification of electrical system digital controllers", IEEE Trans. on Ind. Electron., vol. 57, no. 4, pp. 1226-1236, Apr. 2010.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 52]

[5] K. Levin, E. Hope, A. D. Dominguez-Garcia, "Observer-based fault diagnosis of power electronics systems," in Proc. IEEE Energy Conversion Congress and Exposition, Atlanta, GA, September. 2010., pp. 1-8
[CrossRef] [SCOPUS Times Cited 13]

[6] M. O. Faruque and V. Dinavahi "Hardware-in-the-loop simulation of power electronic systems using adaptive discretization," IEEE Trans. Ind. Electron., vol. 57, 2010, pp. 1146-1158.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 71]

[7] A. J van der Schaft, J.M. Schumacher, An Introduction to Hybrid Dynamical Systems, Springer-Verlag, London, UK,1999.

[8] M. Senesky, G. Eirea, T.J.Koo "Hybrid modeling and control of power electronics" in Hybrid Systems: Computation and Control Conference, ser. Lecture Notes in Computer Science, 2003

[9] D. Majstorovic, I. Celanovic, N. Teslic, N. Celanovic, V. Katic "Ultra-low latency hardware-in-the-loop platform for rapid validation of power electronics designs". IEEE Trans. Ind. Electron.,
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 74]

[10] S. Lentijo, S. D'Arco, A. Monti, "Comparing the dynamic performances of power hardware in the loop interfaces," IEEE Trans. Ind. Electron., vol. 57, no. 4, pp. 1195-1208, Apr. 2010.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 81]

[11] W. Lai and C-T Lea, "A programmable state machine architecture for packet processing," in Proc. IEEE Micro, 2003, pp. 32-42.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 4]

[12] B. Soewito, L. Vespa, A. Mahajan, N. Weng, and H. Wang, "Self-addressable memory-based FSM: a scalable intrusion detection engine," in Proc. IEEE Network, 2009, pp. 14-21.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]

[13] M. Boden, A. Gleich, S. Rulke, and U. Nageldinger, "A Low-Cost realization of an adaptable protocol processing unit," in Proc. 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05, 2005, vol. 4, pp.161b.
[CrossRef] [SCOPUS Times Cited 3]

[14] M. Su, L. Xia, Y. Sun, H. Qin, and H. Xie, "Carrier modulation of four-leg matrix converter based on FPGA," In Proc. ICEMS 2008, 2008, pp. 1247-1250.

[15] P. Pejovic and D. Maksimovic, "A method for fast time-domain simulation of networks with switches," IEEE Tran. Power Electron., vol. 9, no. 4, July 1994, pp. 449-456.
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 92]

[16] J. Allmeling and W. Hammer, "PLECS - piece-wise linear electrical circuit simulation for Simulink," in Proc. IEEE PEDS, Hong Kong, pp. 355-360, July 1999.
[CrossRef] [SCOPUS Times Cited 90]

[17] A. Emadi, Y.J. Lee, K. Rajashekara, "Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles," IEEE Trans. Ind. Electron., vol. 55, no. 6, pp. 2237-2245, June 2008.
[CrossRef] [Web of Science Times Cited 527] [SCOPUS Times Cited 709]

[18] M. Steurer, C. S. Edrington, M. Sloderbeck, W. Ren, and J. Langston, "A megawatt-scale power hardware-in-the-loop simulation setup for motor drives," IEEE Trans. Ind. Electron., vol. 57, no. 4, pp.1254-1261, Apr. 2010.
[CrossRef] [Web of Science Times Cited 112] [SCOPUS Times Cited 140]

[19] R. Ruelland, G. Gateau, T. A. Meynard, and J. C. Hapiot, "Design of FPGA-based emulator for series multicell converters using co-simulation tools," IEEE Trans. Power Electron., vol. 18, no. 1, Jan. 2003, pp. 455-463.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 41]

[20] G. G. Parma and V. Dinavahi, "Real-time digital hardware simulation of power electronics and drives," IEEE Trans. Power Delivery, vol. 22, no. 2, pp. 1235-1246, 2007.
[CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 149]

[21] S. Grubic, B. Amlang, W. Schumacher, and A. Wenzel, "A high performance electronic hardware-in-the-loop drive-load-simulation using a linear inverter (linverter)," IEEE Trans. Ind. Electron., vol. 57, no. 4, Apr. 2010, pp. 1208-1217.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 41]

[22] C. Lascu, I. Boldea, F. Blaabjerg, "A Class of speed-sensorless sliding-mode observers for high-performance induction motor drives," IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3394-3403, Sep. 2009.
[CrossRef] [Web of Science Times Cited 99] [SCOPUS Times Cited 131]

[23] P. Jansen, R. Lorenz, D. Novotny, "Observer-based direct field orientation: analysis and comparison of alternative methods," IEEE Trans. Ind Applications, vol. 30, no. 4, pp. 945-953, July/Aug. 1994.
[CrossRef] [Web of Science Times Cited 118] [SCOPUS Times Cited 145]

[24] A. Birouche, J. Daafouz, C. Iung "Observer design for a class of discrete time piecewise-linear systems," 2nd IFAC Conf. on Analysis and Design of Hybrid Systems, pp. 12-17, June 2006.

References Weight

Web of Science® Citations for all references: 1,496 TCR
SCOPUS® Citations for all references: 2,049 TCR

Web of Science® Average Citations per reference: 62 ACR
SCOPUS® Average Citations per reference: 85 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-02-14 08:54 in 138 seconds.

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