Relevant bibliographies by topics / System of identification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'System of identification'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "System of identification"

1

U. K. Dewangan, U. K. Dewangan. "Element Locations in System Identification." Indian Journal of Applied Research 1, no. 3 (2011): 89–91. http://dx.doi.org/10.15373/2249555x/dec2011/31.

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Aung, Zaw Win. "A Robust Speaker Identification System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 2057–64. http://dx.doi.org/10.31142/ijtsrd18274.

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GARG, UMA. "Face Identification System-A Review." International Journal of Scientific Research 2, no. 9 (2012): 77–78. http://dx.doi.org/10.15373/22778179/sep2013/27.

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R, Rajesh, Jesus Sandal Vinibha G, Kalaimathi K, Kamalakkanni P, and Kamatchi V. "NFC Identification System for Fuel Management." SIJ Transactions on Computer Networks & Communication Engineering 07, no. 04 (2019): 01–06. http://dx.doi.org/10.9756/sijcnce/v7i4/05020060102.

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Némcová, Jana, Mihály Petreczky, and Jan H. van Schuppen. "System Reduction and System Identification of Rational Systems." IFAC Proceedings Volumes 45, no. 16 (2012): 953–58. http://dx.doi.org/10.3182/20120711-3-be-2027.00388.

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So¨derstro¨m, T., P. Stoica, and Rolf Johansson. "System Identification." Journal of Dynamic Systems, Measurement, and Control 115, no. 4 (1993): 739–40. http://dx.doi.org/10.1115/1.2899207.

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Natke, H. G. "System identification." Automatica 28, no. 5 (1992): 1069–71. http://dx.doi.org/10.1016/0005-1098(92)90167-e.

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de Gooijer, Jan G. "System identification." International Journal of Forecasting 6, no. 2 (1990): 256–58. http://dx.doi.org/10.1016/0169-2070(90)90013-2.

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Abdulkader, Zaid A. "Fingerprint Identification System Using Half Smoothing Filters." Webology 19, no. 1 (2022): 406–18. http://dx.doi.org/10.14704/web/v19i1/web19029.

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Fingerprints have been significantly utilized for enormous security systems for their high-level accuracy. They even have been used effectively in smartphone devices for payment in addition to the security purpose. In this paper we propose a new finger print recognition method based on ridge and valley features in finger print images. These features extracted by rotating Gaussian semi _filters. The novelty of this finger print approach based on the mixing of directional filters and differences of Gaussian filter ideas. We obtain a new ridge/valley detector enabling very precise detection of ri
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Chetty, L., and N. M. Ijumba. "System Identification of Classic HVDC Systems." SAIEE Africa Research Journal 102, no. 4 (2011): 113–20. http://dx.doi.org/10.23919/saiee.2011.8531910.

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Dissertations / Theses on the topic "System of identification"

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Venkatesh, Saligrama Ramaswamy. "System-identification for complex-systems." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10440.

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Hof, Jacoba Marchiena van den. "System theory and system identification of compartmental systems." [S.l. : [Groningen] : s.n.] ; [University Library Groningen] [Host], 1996. http://irs.ub.rug.nl/ppn/152829512.

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Mathew, Manu K. "Nonlinear system identification and prediction /." Online version of thesis, 1993. http://hdl.handle.net/1850/11594.

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Luo, Dapeng. "SYSTEM IDENTIFICATION AND FAULT DETECTION OF COMPLEX SYSTEMS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3583.

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The proposed research is devoted to devising system identification and fault detection approaches and algorithms for a system characterized by nonlinear dynamics. Mathematical models of dynamical systems and fault models are built based on observed data from systems. In particular, we will focus on statistical subspace instrumental variable methods which allow the consideration of an appealing mathematical model in many control applications consisting of a nonlinear feedback system with nonlinearities at both inputs and outputs. Different solutions within the proposed framework are presented t
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Ziegler, Edward H. "Nonlinear system identification /." Online version of thesis, 1994. http://hdl.handle.net/1850/11583.

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Haider, Usama. "Smart Maintenance using System Identification." Thesis, Högskolan i Gävle, Avdelningen för elektroteknik, matematik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-30735.

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This project discusses the use of System Identification for Smart Maintenance. System Identification is the process of finding a mathematical model of a system using empirical data. The mathematical model can then be used to detect and predict the maintenance needs, which is considered as Smart Maintenance. Smart maintenance strategies have gained pretty much importance recently, since it contributes to economically sustainable production. This project uses the LAVA-framework, proposed in [1] for non-linear system identification, which has the capability of explaining the dynamics of the syste
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Zhao, Liang. "System identification for complex financial system." Thesis, University of Sheffield, 2011. http://etheses.whiterose.ac.uk/14654/.

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The mam purpose of this thesis focuses on the investigation of major financial volatility models including the relevant mean model used in the context of volatility estimation, and the development of a systematic nonlinear identification methodology for these problems. Financial volatility is one of the key aspects in financial economics and volatility modelling involves both the mean process modelling, and the volatility process modelling. Although many volatility models have been derived to approximate the volatility process, linear mean models are almost always used and to the best of our k
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Arain, Muhammad Asif, Ayala Helon Vicente Hultmann, and Muhammad Adil Ansari. "Nonlinear System Identification Using Neural Network." University of Genova (Italy) and Warsaw University of Technology (Poland), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-28937.

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Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.
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Wangpattanasirikul, Suthipong. "Port-based system identification." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39769.

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Chen, Chun-Cheng Richard 1977. "Automated cardiovascular system identification." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/81537.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 64-65).<br>by Chun-Cheng Chen.<br>S.B.and M.Eng.
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Books on the topic "System of identification"

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Keesman, Karel J. System Identification. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-522-4.

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Pintelon, Rik, and Johan Schoukens. System Identification. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118287422.

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Petre, Stoica, ed. System identification. Prentice Hall, 1989.

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Petre, Stoica, ed. System identification. Prentice-Hall, 1989.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. Regularized System Identification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2.

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Billings, Stephen A. Nonlinear System Identification. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118535561.

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Nelles, Oliver. Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3.

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Nelles, Oliver. Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3.

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Lauer, Fabien, and Gérard Bloch. Hybrid System Identification. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00193-3.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Rotorcraft system identification. AGARD, 1991.

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Book chapters on the topic "System of identification"

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Lauer, Fabien, and Gérard Bloch. "System Identification." In Hybrid System Identification. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00193-3_2.

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Westphal, L. C. "System identification." In Sourcebook of Control Systems Engineering. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1805-1_30.

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Ljung, Lennart. "System Identification." In Signal Analysis and Prediction. Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1768-8_11.

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Westphal, Louis C. "System identification." In Handbook of Control Systems Engineering. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1533-3_30.

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Starr, Gregory. "System Identification." In Introduction to Applied Digital Controls. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42810-5_8.

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Vyas, J. Jaidev, Balamurugan Gopalsamy, and Harshavardhan Joshi. "System Identification." In Electro-Hydraulic Actuation Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2547-2_4.

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Robinett, Rush D., Clark R. Dohrmann, G. Richard Eisler, et al. "System Identification." In Flexible Robot Dynamics and Controls. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0539-6_4.

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Kagiwada, Harriet, Robert Kalaba, Nima Rasakhoo, and Karl Spingarn. "System Identification." In Numerical Derivatives and Nonlinear Analysis. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5056-9_4.

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Vandersteen, Gerd. "System Identification." In Modern Measurements. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119021315.ch8.

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Cowpertwait, Paul S. P., and Andrew V. Metcalfe. "System Identification." In Introductory Time Series with R. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-88698-5_10.

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Conference papers on the topic "System of identification"

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Micklich, Bradley J., B. P. Curry, Charles L. Fink, Donald L. Smith, and Thomas J. Yule. "System design considerations for fast neutron interrogation systems." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171248.

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Zigler, Arie, G. Managadze, Tom Wallace, Robert Short, and Ramy A. Shanny. "Mobile spectroscopic analysis system." In Substance Identification Technologies, edited by James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, et al. SPIE, 1994. http://dx.doi.org/10.1117/12.172512.

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Seed, Thomas J., John D. Zahrt, and Barry L. Berman. "Virtual prototype for an explosives detection system." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171266.

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McMakin, Douglas L., David M. Sheen, H. D. Collins, Thomas E. Hall, and Russell R. Smith. "Millimeter-wave high-resolution holographic surveillance system." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171270.

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Alberts, David S. "Meta-expert system for cargo container screening." In Substance Identification Technologies, edited by James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, et al. SPIE, 1994. http://dx.doi.org/10.1117/12.172498.

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Mercado, Alvaro G., and John P. Davies. "Quantitative assessment methodology for an infrared spectroscopic system." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171260.

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Brown, Douglas R. "Cargo inspection system based on pulsed fast neutron analysis." In Substance Identification Technologies, edited by Geoffrey L. Harding, Richard C. Lanza, Lawrence J. Myers, and Peter A. Young. SPIE, 1994. http://dx.doi.org/10.1117/12.171246.

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Shafer, David R., and Roderick D. Swift. "AS&E cargo vehicle x-ray inspection system." In Substance Identification Technologies, edited by James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, et al. SPIE, 1994. http://dx.doi.org/10.1117/12.172526.

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Thomopoulos, Stelios C., and James G. Reisman. "Fusion-based, high-volume automated fingerprint identification system (AFIS)." In Substance Identification Technologies, edited by James L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, et al. SPIE, 1994. http://dx.doi.org/10.1117/12.172536.

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Haider, Sajjad, Samad Hassan, and Mohammad Nishat. "Influence Nets based Decision Support System." In Modelling, Identification and Control. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.770-015.

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Reports on the topic "System of identification"

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OFFICE OF NAVAL RESEARCH ARLINGTON VA. Secure Identification System. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/add018633.

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D'Onofrio, L. Combat Vehicle Identification System (CVIS). Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada219184.

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Farrar, Charles R., Keith Worden, Michael D. Todd, et al. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/922532.

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Dohner, J. L. System identification for robust control design. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/72725.

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Zhou, Kemin, and Guoxiang Gu. Robust System Identification and Control Design. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392562.

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Chiang, L. G. Nuclear Materials Identification System Operational Manual. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/814361.

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Fuccillo, Nancy E. Prototype Automated Identification System for Parachutes. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada242945.

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Brown, D. P. RHIC Cryogenic System Equipment Identification System and Schematic Symbols. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/1119162.

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Roberts, II, Gaspari Robert G., Webster Gregory, et al. Automatic Identification System (AIS) Collection and Reach-back System: System Description. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada611418.

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Schwiening, Jochen. DIRC, the Particle Identification System for BABAR. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/784720.

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