Modelling and parameter estimation of dynamic systems iee. For reasons of competitive fairness, direct communication between proposers and topic authors is not allowed starting december, 2011, when dod begins accepting proposals for this solicitation. Frontiers in electromagnetics electromagnetic theory. The distributions are based on kernel density estimates from the best 100 of randomly seeded particle swarm optimizations for each subject. Modal parameter estimation using acoustic modal analysis. The electromagnetic scattering mechanism of radar targets in the highfrequency domain can be characterized exactly by geometrical theory of diffraction gtd model.
The specific approaches described here, while known by various names, incorporate a common underlying procedure that is called modelbased parameter estimation mbpe. Fast wideband solutions obtained using model based parameter. The specific approaches described here, while known by various names, incorporate a common underlying procedure that is. In a first step, the wmt is used to get a sparse matrix equation in waveletdomain. Modelbased parameter estimation in electromagnetics. Parameter estimation an overview sciencedirect topics. It is relevant to mention the informationintensive nature of electromagnetics, because this. Digital twins and modelbased battery design comsol blog. Mbpe for speeding up the computation of plasmonic structurs ieee. The applied computational electromagnetics society aces journal hereinafter known as the aces journal is devoted to the exchange of information in computational electromagnetics, to the advancement of the stateofthe art, and.
Computational electromagnetics and modelbased inversion. The idw has been considered for radio environment map parameter space estimation in many studies 1418, 20, 21, 24. This article first provides a background and motivation for using model based parameter estimation mbpe in electromagnetics, focusing on the use of fitting models that are described by exponential and pole series. Electrical engineering frontiers in electromagnetics frontiers in electromagnetics is the first complete resource on todays major advances in longstanding electromagnetics problems. This talk summarizes the development and application of exponential series and pole series as fitting models fms in electromagnetics. Science began, and largely remains, an activity of making observations andor collecting data about some phenomenon in which patterns may be perceived and for which a theoretical explanation is sought in the form of mathematical prescriptions. Using modelbased parameter estimation to increase the. In mathematical methods in electromagnetic theory, 2006. Modelbased extraction of electromagnetic parameters in radar and scattering problems. The parameterestimation part of mbpe is the process of obtaining numerical values for the coefficients of the fitting model by matching or fitting it to sampled values of the em observable of interest. Parameters extraction from inhomogeneous metamaterials with model based parameter estimation. Model based parameter estimation theory and applications. Ecea 5445 modelbased parameter and spectral estimation 1. This volume will define the direction of eddycurrent technology in nondestructive evaluation nde in the twentyfirst century.
The article concludes with what should be a logical consequence of verification and validation, the inclusion by an authors of quantitative and appropriate statements about. We are extending the topic matter of our monograph by sabbagh, et al, computational electromagnetics and modelbased inversion. Parameter estimation for the field strength of radio environment. Integration of the model based parameter estimation mbpe technique into method of moments mom provides fast solutions over a wide frequency band to solve radiation and scattering problems. Theory and applications contributions in mathematical and computational sciences on free shipping on qualified orders. Pdf 87modelbased parameterestimation applications in. Corey relationship, and it controls the hydraulic conductivity between the second and third soil layers and, therefore, affects baseflow generation. A spectral representation solution for electromagnetic. Several methods and algorithms he developed are now included in most commercial eda software packages. Miller 3225 calle celestial santa fe, nm68750196 tel.
Z2016149, the xihua university key laboratory development program. This is especially true with regard to quantitative nde, wherein we attempt to quantify defects, that is, determine their size, location, even shape, rather than just to detect their presence. Our technologists present wellsupported research with a robust methodology. A new parameter estimation method for gtd model based on modified compressed sensing by x. Frontiers in electromagnetics is the first allinone resource to bring indepth original papers on todays major advances in longstanding electromagnetics problems. Some applications of modelbased parameter estimation in electromagnetics by dr. An efficient method for the accurate computation of the response of photonic crystal filters is obtained when modelbased parameter estimation mbpe is combined with accurate field solvers. His research interests include scientific visualization, modelbased parameter estimation, the physics of electromagnetic radiation, validation of computational software, and numerical modeling about which he has published more than 150 articles and book chapters. This cited by count includes citations to the following articles in scholar. Antenna analysis and design using feko electromagnetic simulation software, the aces series on computational electromagnetics and engineering ceme az elsherbeni, p nayeri, cj reddy. Postmodern electromagnetics using intelligent maxwell. Gradientbased parameter estimation algorithms operate by calculating a direction in which to move the values towards an improved parameter set. The estimated value of the forecast point parameter can be calculated by the weighted sum of the actual observation values of. Werner and raj mittra, along with preeminent researchers in the field, provide stateoftheart discussions on emerging areas of electromagnetics.
The electromagnetics, rf, microwaves and remote sensing curriculum in the msee on coursera invites you to explore an exciting electrical engineering field that engages topics such as active circuits and antennas for communications and radar, theoretical and numerical techniques for analysis of highfrequency circuits and antennas, rf photonics, artificial electromagnetic materials, and. A modelbased parameter estimation mbpe technique is described to accelerate numerical simulations of electromagnetic structures. After joinin the university of kansas in the year 1986 as an assistant professor, he started research in the areas of computational electromagnetics. His research interest then expanded in the areas of signal parameter estimation techniques using both time. Integration of the model based parameter estimation mbpe. Miller, modelbased parameter estimation in electromagnetics. Then in a second step, the adaptive modelbased parameter estimation is used to reduce the number of frequencydomain calculation points required for the evaluation of spacetime current distribution along a grounding grid. The theory is furnished with several illustrations and computer programs to promote better understanding of system modeling and parameter estimation. Using modelbased parameter estimation to increase the efficiency and effectiveness of computational electromagnetics biography. In this paper, we call it radio environment map parameter estimation. Miller has held a variety of government, academic and industrial positions. Neureutherfinal technical report on the logperiodic scattering array program u. A markov chain monte carlo scheme for parameter estimation. A modern paradigm for eddycurrent nondestructive evaluation, publ.
A procedure based on modelbased parameter estimation is describe here that offers the opportunity of reducing the number of samples needed while developing an easily computed and continuous representation of the pattern. This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of. Electromagnetics, rf, microwaves, and remote sensing electrical. The purpose of this lecture is to summarize the development and application of exponential series and pole series as fms in electromagnetics. Monitoring the conditions of railway vehicle systems plays an important role in the maintenance of safety and performance of railway vehicles. Computations are performed using a markov chain monte carlo mcmc method based on the metropolishastings algorithm. Parameter estimation in electromagnetic devices by the. Frontiers in electromagnetics,electromagnetic theory. E 2 was identified as a sensitive parameter for streamflow in four basins. The parameterestimation part of mbpe is the process of obtaining numerical values for the coefficients of the fitting model by matching or fitting it to sampled values of the em observable of. Pdf modelbased parameterestimation applications in.
Parameter estimation and identifiability in a neural population model. Sumo lab focuses on the study and development of innovative software tools and techniques for efficient and accurate characterization, modeling, simulation and optimization of complex systems, with applications in different fields of science and engineering our expertise has been successfully used by academic and business partners worldwide. Overview of methods of computational electromagnetics. C circuit breaker in the electromagnetic transients program emtp. K model based parameter estimation in electromagnetics. Modelbased parameterestimation applications in electromagnetics. Stochastic environmental signal processing specialization 3 credits. Modelling and systems parameter estimation for dynamic systems presents a detailed examination of the estimation techniques and modeling problems. How data obtained from various kinds of sampling procedures can be used to quantify such models, i. A modern paradigm for eddycurrent nondestructive evaluation harold a sabbagh, r.
Emag distinguished seminar school of electrical and. Songhua, hai, huai, and the middle yellow river basin table 2 and figure. Pdf modelbased parameter estimation in electromagnetics. Using modelbased parameter estimation to increase the physical. Between november 10 and december 12, 2010, you may talk directly with the topic authors to ask technical questions about the topics. Werner and raj mittra have meticulously selected new contributed papers from preeminent researchers in the field to provide stateoftheart discussions on emerging areas of electromagnetics. Model based parameter estimation applied to supernec, technical report, university of witwatersrand electromagnetics laboratory, 1996. Rolling radius is one of the properties that should be. This discussion surveys some aspects of computational electromagnetics from a parameter estimation viewpoint, emphasizing the variety of ways in which an exponentialseries model can arise. This high computational cost makes the parameter estimation for large, complex geophysical models very difficult, if not impossible.
C circuit breakers in the electromagnetic transients. Electromagnetics, rf, microwaves, and remote sensing. A fully bayesian approach to parameter estimation and inference in conceptual rainfallrunoff models crrms is presented. His modeling and simulation eda software electronic design automation is successfully used by academic, government and business organizations worldwide, for study and design of highspeed electronics and broadband communication systems. As in cat scanning, modern nde requires sophisticated mathematical software to perform its function. Creation of wireframe model and trace lines using the wireframe editor option in xmodal ii software developed by sdrl, university of cincinnati, the wireframe model of the circular disc is created by entering the coordinates of all the measurement points and the. Aperture antennas, and arrays 1 credit ecea 5445 modelbased parameter and spectral estimation 1 credit ecea 5446 statistical estimation and filtering 1. Traditional modelbased design involves the verification and validation of models, which can be used to optimize the design or operation of a device or process. Software sites tucows software library shareware cdroms software capsules compilation cdrom images zx spectrum doom level cd. Ge researchers, scientists and engineers are widely published in academic journals. Estimation, state space method, system identification, transient analysis, transmission line. Since earning his phd in electrical engineering at the university of michigan, e. Modelbased parameter estimation mbpe for solving nonlinear eigenvalue problems. As mentioned above, parameter improvements are characterized by a lower value of the cost function, which is a measure of difference between the model and observations.
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