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Lundberg, Magnus
Alternative names
Publications (10 of 56) Show all publications
Hostettler, R., Birk, W. & Lundberg Nordenvaad, M. (2016). Maximum Likelihood Estimation of the Non-Parametric FRF for Pulse-Like Excitations (ed.). IEEE Transactions on Automatic Control, 61(8), 2276-2281
Open this publication in new window or tab >>Maximum Likelihood Estimation of the Non-Parametric FRF for Pulse-Like Excitations
2016 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 61, no 8, p. 2276-2281Article in journal (Refereed) Published
Abstract [en]

This technical note introduces the closed form maximum likelihood estimator for estimating the coefficients of the non-parametric frequency response function from system identification experiments. It is assumed that the experiments consist of repeated pulse excitations and that both the excitation and system response are measured which leads to an error-in-variables setting. Monte Carlo simulations indicate that the estimator achieves efficiency at low signal-to-noise ratios with only few measurements. Comparison with the least-squares estimator shows that better, unbiased results are obtained.

National Category
Control Engineering Reliability and Maintenance
Research subject
Control Engineering; Quality Technology & Management
Identifiers
urn:nbn:se:ltu:diva-8495 (URN)10.1109/TAC.2015.2491538 (DOI)000381443000023 ()2-s2.0-84982727285 (Scopus ID)7027e08e-8902-4d67-aa4f-e9764f94699c (Local ID)7027e08e-8902-4d67-aa4f-e9764f94699c (Archive number)7027e08e-8902-4d67-aa4f-e9764f94699c (OAI)
Note

Validerad; 2016; Nivå 2; 2016-10-19 (inah)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-10-04Bibliographically approved
Hostettler, R., Nordenvaad, M. L. & Birk, W. (2014). The pavement as a waveguide: modeling, system identification, and parameter estimation (ed.). Paper presented at . IEEE Transactions on Instrumentation and Measurement, 63(8), 2052-2063
Open this publication in new window or tab >>The pavement as a waveguide: modeling, system identification, and parameter estimation
2014 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 63, no 8, p. 2052-2063Article in journal (Refereed) Published
Abstract [en]

This paper presents modeling of wave propagation in pavements from a system identification point of view. First, a model based on the physical structure is derived. Second, experiment design and evaluation are discussed and maximum-likelihood estimators for estimating the model parameters are introduced, assuming an error-in-variables setting. Finally, the proposed methods are applied to measurement data from two experiments under varying environmental conditions. It is found that the proposed methods can be used to estimate the dispersion curves of the considered waveguide and the results can be used for further analysis

National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-10262 (URN)10.1109/TIM.2014.2304354 (DOI)000342419300019 ()2-s2.0-84904767249 (Scopus ID)909d6537-e102-4750-be0c-375c430cdcdf (Local ID)909d6537-e102-4750-be0c-375c430cdcdf (Archive number)909d6537-e102-4750-be0c-375c430cdcdf (OAI)
Note
Validerad; 2014; 20140103 (rolhos)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Hostettler, R., Birk, W. & Nordenvaad, M. L. (2013). Extended Kalman filter for vehicle tracking using road surface vibration measurements (ed.). In: (Ed.), (Ed.), IEEE 51st Annual Conference on Decision and Control: CDC 2012. Paper presented at IEEE Conference on Decision and Control : 10/12/2012 - 13/12/2012. Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Extended Kalman filter for vehicle tracking using road surface vibration measurements
2013 (English)In: IEEE 51st Annual Conference on Decision and Control: CDC 2012, Piscataway, NJ: IEEE Communications Society, 2013Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses a novel method for vehicle tracking using an extended Kalman filter and measurements of road surface vibrations from a single accelerometer. First, a measurement model for vibrations caused by vehicular road traffic is developed. Then the identifiability of the involved parameters is analyzed. Finally, the measurement model is combined with a constant speed motion model and the Kalman filter is derived. Simulation and measurement results indicate that the approach is feasible and show where further development is needed.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2013
Series
I E E E Conference on Decision and Control. Proceedings, ISSN 0743-1546
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-40744 (URN)10.1109/CDC.2012.6426451 (DOI)2-s2.0-84874257810 (Scopus ID)ffb2ad90-61d9-4518-ba7f-e6f3f855092e (Local ID)978-1-4673-2065-8 (ISBN)978-1-4673-2064-1 (ISBN)ffb2ad90-61d9-4518-ba7f-e6f3f855092e (Archive number)ffb2ad90-61d9-4518-ba7f-e6f3f855092e (OAI)
Conference
IEEE Conference on Decision and Control : 10/12/2012 - 13/12/2012
Note
Validerad; 2013; 20130311 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Hostettler, R., Nordenvaad, M. L. & Birk, W. (2012). A system identification approach to modeling of wave propagation in pavements (ed.). In: (Ed.), (Ed.), 16th IFAC Symposium on System Identification: . Paper presented at IFAC Symposium on System Identification : 11/07/2012 - 13/07/2012 (pp. 292-297). : IFAC, International Federation of Automatic Control
Open this publication in new window or tab >>A system identification approach to modeling of wave propagation in pavements
2012 (English)In: 16th IFAC Symposium on System Identification, IFAC, International Federation of Automatic Control , 2012, p. 292-297Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, modeling of the pavement as a wave propagation medium and estimation of the corresponding model parameters is approached from a system identification perspective. A model based on the physical background is proposed and the corresponding parameters are then estimated from measurement data. In order to achieve the latter, two estimators are proposed, their performance evaluated, and then applied to the measurement data. It is found that the proposed methods are applicable and the results show that different eigenmodes of the structure are excited.

Place, publisher, year, edition, pages
IFAC, International Federation of Automatic Control, 2012
Series
I F A C Workshop Series, ISSN 1474-6670 ; 16, Part 1
National Category
Control Engineering Signal Processing
Research subject
Control Engineering; Signal Processing
Identifiers
urn:nbn:se:ltu:diva-30172 (URN)10.3182/20120711-3-BE-2027.00107 (DOI)2-s2.0-84867082112 (Scopus ID)3e8b5d39-b413-4a3e-bcc4-20e5f24b86ce (Local ID)978-3-902823-06-9 (ISBN)3e8b5d39-b413-4a3e-bcc4-20e5f24b86ce (Archive number)3e8b5d39-b413-4a3e-bcc4-20e5f24b86ce (OAI)
Conference
IFAC Symposium on System Identification : 11/07/2012 - 13/07/2012
Note
Validerad; 2012; 20121019 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Bergquist, B., Vanhatalo, E. & Nordenvaad, M. L. (2011). A Bayesian analysis of unreplicated two-level factorials using effects sparsity, hierarchy, and heredity (ed.). Paper presented at . Quality Engineering, 23(2), 152-166
Open this publication in new window or tab >>A Bayesian analysis of unreplicated two-level factorials using effects sparsity, hierarchy, and heredity
2011 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 23, no 2, p. 152-166Article in journal (Refereed) Published
Abstract [en]

This article proposes a Bayesian procedure to calculate posterior probabilities of active effects for unreplicated two-level factorials. The results from a literature survey are used to specify individual prior probabilities for the activity of effects and the posterior probabilities are then calculated in a three-step procedure where the principles of effects sparsity, hierarchy, and heredity are successively considered. We illustrate our approach by reanalyzing experiments found in the literature.

Keywords
Information technology - Other information technology, Informationsteknik - Övrig informationsteknik
National Category
Reliability and Maintenance Signal Processing
Research subject
Quality Technology and Management; Signal Processing
Identifiers
urn:nbn:se:ltu:diva-2643 (URN)10.1080/08982112.2011.553760 (DOI)000299335400005 ()2-s2.0-79952670218 (Scopus ID)04b78670-fc6f-11df-8b95-000ea68e967b (Local ID)04b78670-fc6f-11df-8b95-000ea68e967b (Archive number)04b78670-fc6f-11df-8b95-000ea68e967b (OAI)
Note
Validerad; 2011; 20101130 (eri_van)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Lin, J., Nordenvaad, M. L. & Zhu, H. (2011). Bayesian survival analysis in reliability for complex system with a cure fraction (ed.). Paper presented at . International Journal of Pedagogy, Innovation and New Technologies, 7(2), 109-120
Open this publication in new window or tab >>Bayesian survival analysis in reliability for complex system with a cure fraction
2011 (English)In: International Journal of Pedagogy, Innovation and New Technologies, ISSN 0973-1318, E-ISSN 2392-0092, Vol. 7, no 2, p. 109-120Article in journal (Refereed) Published
Abstract [en]

In traditional methods for reliability analysis, one complex system is often considered as being composed by some subsystems in series. Usually, the failure of any subsystem would be supposed to lead to the failure of the entire system. However, some subsystems' lifetimes are long enough and even never fail during the life cycle of the entire system. Moreover, such subsystems' lifetimes will not be influenced equally under different circumstances. In practice, such interferences will affect the model's accuracy, but it is seldom considered in traditional analysis. To address these shortcomings, this paper presents a new approach to do reliability analysis for complex systems. Here a certain fraction of the subsystems is defined as a "cure fraction" under the consideration that such subsystems' lifetimes are long enough and even never fail during the life cycle of the entire system. By introducing environmental covariates and the joint power prior, the proposed model is developed within the Bayesian survival analysis framework, and thus the problem for censored (or truncated) data in reliability tests can be resolved. In addition, a Markov chain Monte Carlo computational scheme is implemented and a numeric example is discussed to demonstrate the proposed model

National Category
Other Civil Engineering Signal Processing
Research subject
Operation and Maintenance; Signal Processing
Identifiers
urn:nbn:se:ltu:diva-3047 (URN)0cd44760-e0e2-409b-8b30-5a45ecff899e (Local ID)0cd44760-e0e2-409b-8b30-5a45ecff899e (Archive number)0cd44760-e0e2-409b-8b30-5a45ecff899e (OAI)
Note
Validerad; 2011; 20110328 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Ling, J., Zhao, K., Li, J. & Nordenvaad, M. L. (2011). Multi-input multi-output underwater communications over sparse and frequency modulated acoustic channels (ed.). Paper presented at . Journal of the Acoustical Society of America, 130(1), 249-262
Open this publication in new window or tab >>Multi-input multi-output underwater communications over sparse and frequency modulated acoustic channels
2011 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 130, no 1, p. 249-262Article in journal (Refereed) Published
Abstract [en]

This paper addresses multi-input multi-output (MIMO) communications over sparse acoustic channels suffering from frequency modulations. An extension of the recently introduced SLIM algorithm, which stands for sparse learning via iterative minimization, is presented to estimate the sparse and frequency modulated acoustic channels. The extended algorithm is referred to as generalization of SLIM (GoSLIM). The sparseness is exploited through a hierarchical Bayesian model, and because GoSLIM is user parameter free, it is easy to use in practical applications. Moreover this paper considers channel equalization and symbol detection for various MIMO transmission schemes, including both space-time block coding and spatial multiplexing, under the challenging channel conditions. The effectiveness of the proposed approaches is demonstrated using in-water experimental measurements recently acquired during WHOI09 and ACOMM10 experiments.

National Category
Signal Processing
Research subject
Signal Processing
Identifiers
urn:nbn:se:ltu:diva-5346 (URN)10.1121/1.3578458 (DOI)000292920700035 ()2-s2.0-79960691605 (Scopus ID)36ccc15a-e53c-45bb-a01e-4b937805cf78 (Local ID)36ccc15a-e53c-45bb-a01e-4b937805cf78 (Archive number)36ccc15a-e53c-45bb-a01e-4b937805cf78 (OAI)
Note
Validerad; 2011; 20110815 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Birk, W., Hostettler, R., Lundberg Nordenvaad, M., Eliasson, J., Gylling, A., Delsing, J., . . . Mäkitaavola, H. (2011). Project: iRoad. Paper presented at .
Open this publication in new window or tab >>Project: iRoad
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2011 (English)Other (Other (popular science, discussion, etc.))
National Category
Control Engineering Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Control Engineering; Signal Processing; Industrial Electronics
Identifiers
urn:nbn:se:ltu:diva-36044 (URN)3eec9c4d-d768-46f4-aa14-6a5f353f56e5 (Local ID)3eec9c4d-d768-46f4-aa14-6a5f353f56e5 (Archive number)3eec9c4d-d768-46f4-aa14-6a5f353f56e5 (OAI)
Note

Publikationer: Analysis of the adaptive threshold vehicle detection algorithm applied to traffic vibrations; Enabling remote controlled road surface networks for enhanced ITS; Feasibility of road vibrations-based vehicle property sensing; Road surface networks technology enablers for enhanced ITS; PCB Integration of dye-sensitised solar cells for low-cost networked embedded systems; A comparison of two modes for AEAD services in wireless sensor networks; Low-cost PCB integration of dye-sensitised solar cells for WSAN applications; Vehicle Speed Determination (Patent pending); Classification of driving direction in traffic surveillance using magnetometers; Analysis of the adaptive threshold vehicle detection algorithm applied to traffic vibrations; Status: Pågående; Period: 02/06/2008 → 31/12/2012

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-03-28Bibliographically approved
Lin, J. & Nordenvaad, M. L. (2011). Spares demand system with consideration of integration management and optimization (ed.). In: (Ed.), (Ed.), 2011 International Conference on Mechanical, Industrial, and Manufacturing Engineering: MIME 2011, Melbourne, Australia, 15 January-16 January 2011. Paper presented at International Conference of Mechanical, Industrial, and Manufacturing Engineering : 15/01/2011 - 16/01/2011 (pp. 1-4).
Open this publication in new window or tab >>Spares demand system with consideration of integration management and optimization
2011 (English)In: 2011 International Conference on Mechanical, Industrial, and Manufacturing Engineering: MIME 2011, Melbourne, Australia, 15 January-16 January 2011, 2011, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Inventory management differs from other manufacturing inventory managements, mainly due to its specialists in function with maintenance. So far, enormous attention has been paid by standing on spares’ manufacturingfactories, sales companies, end users’ purchasing departments, or maintenance engineers, separately. However, not only “bullwhip effect” in forecasting spares demands, but also deteriorated relationships among the spares supply chains have shown that, spares optimization strategies with isolated consideration couldonly bring short-term or partial improvements. In this paper, the spares demand system with consideration of integration management is promoted, the new Solid-Net relationships among four main components are elaborated. Then, the root causes of ineffective in spares demand system are analyzed. Also, distinctoptimization policies are illustrated. What’s more, successful stories in practice are cited.

National Category
Other Civil Engineering Signal Processing
Research subject
Operation and Maintenance; Signal Processing
Identifiers
urn:nbn:se:ltu:diva-31721 (URN)5fabd427-8912-44c4-9f00-bfef2141b351 (Local ID)978-0-9831693-1-4 (ISBN)5fabd427-8912-44c4-9f00-bfef2141b351 (Archive number)5fabd427-8912-44c4-9f00-bfef2141b351 (OAI)
Conference
International Conference of Mechanical, Industrial, and Manufacturing Engineering : 15/01/2011 - 16/01/2011
Note
Godkänd; 2011; 20120508 (linjan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Nordenvaad, M. L. (2010). A hierarchical approach to noise-adaptive estimation (ed.). In: (Ed.), (Ed.), 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM): . Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop : 04/10/2010 - 07/10/2010 (pp. 161-164). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>A hierarchical approach to noise-adaptive estimation
2010 (English)In: 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Piscataway, NJ: IEEE Communications Society, 2010, p. 161-164Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a noise-adaptive estimator for the linear model. The strategy is based on a hierarchical approach where in each step, a decreasing number of unbiased estimates for the parameter of interest is produced. In this way, the complexity is greatly reduced compared to standard estimators, like the adaptive maximum likelihood (AML) estimator. Also, since the method combines solutions to sub-problems of smaller dimensionality, the required size of the noise training data set is also reduced. As a result, the derived scheme performs better than AML for small sample support. The results are verified by simulations and show that the derived scheme is a very appropriate choice for a large class of problems with high dimensionality.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2010
Series
Sensor Array and Multichannel Signal Processing. I E E E Works, ISSN 1551-2282
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
urn:nbn:se:ltu:diva-39050 (URN)10.1109/SAM.2010.5606722 (DOI)2-s2.0-78650120536 (Scopus ID)da418110-efd6-11df-8b36-000ea68e967b (Local ID)978-1-4244-9395-1 (ISBN)978-1-4244-9395-1 (ISBN)da418110-efd6-11df-8b36-000ea68e967b (Archive number)da418110-efd6-11df-8b36-000ea68e967b (OAI)
Conference
IEEE Sensor Array and Multichannel Signal Processing Workshop : 04/10/2010 - 07/10/2010
Note
Godkänd; 2010; 20101114 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
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