[PDF] Top 20 Parameter Estimation of Exciation Systems

... In [7], parameter estimation was performed in frequency-domain. The author utilized FFT and complex curve fitting technique to estimate the parameters of a excitation system model, which is a model ... See full document

... [BL] H.T. Banks and N.J. Lybeck, Modeling methodology for elastomer dynamics, CRSC- TR96-29, September, 1996; Systems and Control in the 21st Century , (ed. by C. Byrnes, B. Datta, D. Gilliam and C. Martin), ... See full document

... for estimation, monitoring, fault detection and diagnosis in distributed parameter ...environment systems which may be seen as distributed parameter ...distributed parameter system. ... See full document

... state estimation method is given for a class of stochastic systems, but the stochastic disturbance is independent on the system ...uncertain systems we investigated in this paper is state ... See full document

... FFO estimation method is quite similar to Schmidl’s estimation method,which uses a training symbol containing two identical halves and results in a frequency acquisition range of ± 1 subcarrier spacing ... See full document

... At first glance, the results obtained with the standard IDIM-LS identification method and the linear friction model seems quite acceptable. Indeed, the relative error is small (less than 5%) and the estimated mass is ... See full document

... of parameter values and experimental data, this function returns a value to EvA2 that reflects the quality of the current model ...a parameter set that accounts for the smallest possible deviation of ... See full document

... Goal number 2 was accomplished as shown in chapter 5, where a variety of observers were tested for their feasibility of use in estimating the states of the system while utilizing the new lumped parameter model ... See full document

... In this study the unwrapped phase produced by interferometric pairs has been modeled for estimating height and atmospheric phase delay difference for the dates of every interferometric set image acquisition. Although the ... See full document

... Fermionic Gaussian states play a major role in the derivation of exact and approximate solution of many-body problems of Fermionic and spin systems. Deriving closed form expressions of quantities involved in ... See full document

... This paper surveys the field of adaptation mechanism design for uncertainty parameter estimation as it has developed over the last four decades. The adaptation mechanism under consideration generally serves ... See full document

... and parameter estimation in the case with unknown forcing would become much harder as one would have to discern whether forcing terms that are a residual of the underlying linear system are due to an ... See full document

... The objective of this paper is to develop an effective cosine-cepstrum-based methodology for the identification of AR systems from very heavily noise-corrupted samples of the output observations. The main idea of ... See full document

... wide swath and multi-channel TOPS can produce imaging at high resolution with ultra-wide swath. However, two main challenges that must be faced by multi-channel BS-SAR are spectrum aliasing caused by the azimuth-varying ... See full document

... chaotic systems have been investigated intensely in various fields in recent years ...chaotic systems are known in ...chaotic systems. Therefore, parameter estimation for chaotic ... See full document

... electrical systems in different areas of electrical engineering such as control, communications, signal processing and power has been a major field of interest, research and investigation for a long ...complex ... See full document

... unreasonable parameter values that grow without bound; this case is very easy to detect and ...wrong parameter values, but a sat- isfactory residual ...resulting parameter values ... See full document

... In Chapter I1 three methods are presented f o r the estimation of constant parameters in distributed parameter systems... distributed parameter case..[r] ... See full document

... Several methods exist to solve the inverse problem. A major factor in determining which method to use is additional assumptions made about E (z). It is common practice to make the assumption that realizations of E (z) at ... See full document

... other systems contain adjustable or unknown parameters, the values of which can be estimated from ob- ...servations. Parameter estimation is challenging for biopro- cesses modelling [1] due to: (1) ... See full document