The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform
Deng Zili - One of the best experts on this subject based on the ideXlab platform.
-
White Noise Estimation Theory for Dynamic Systems
Control theory & applications, 1995Co-Authors: Deng ZiliAbstract:Using the innovation analysis method in the time domain,this paper presents a unified and general white noise Estimation Theory for dynamic systems,and a simulation example is given for treatting Mendel's deconvolution problem.
Bai Jian Tang - One of the best experts on this subject based on the ideXlab platform.
-
Estimation Theory on Cable's Pretension in Pre-Stressed Mega Brace and Steel Frame Structure
Applied Mechanics and Materials, 2012Co-Authors: Bai Jian TangAbstract:According to the superposition principle of building structure, the lateral deformation mode of pre-stressed mega bracing-steel frame structure was analyzed, then the relation between the structural maximum inter-story drift and cross section area of cable was further established. Based on the area of cable derived by the design target value of inter-story drift, the qualitative Estimation Theory on cross section area of the cable is finally determined.
-
Estimation Theory on Cable’s Diameter in Pre-Stressed Mega Brace and Steel Frame Structure
Applied Mechanics and Materials, 2011Co-Authors: Bai Jian Tang, Jian Hua ShaoAbstract:According to the superposition principle of building structure, the lateral deformation mode of pre-stressed mega bracing-steel frame structure was analyzed, then the relation between the structural maximum inter-story drift and cross section area of cable was further established. Based on the area of cable derived by the design target value of inter-story drift, the qualitative Estimation Theory on cross section area of the cable is finally determined.
Alexander G. Ramm - One of the best experts on this subject based on the ideXlab platform.
-
Singular Perturbation Theory for a Class of Fredholm Integral Equations Arising in Random Fields Estimation Theory
Integral Equations and Operator Theory, 2005Co-Authors: Alexander G. Ramm, Efim ShifrinAbstract:A basic integral equation of random fields Estimation Theory by the criterion of minimum of variance of the Estimation error is of the form Rh = f, where \(Rh = \smallint\limits_D {R(x,y)h(y)dy,} \) and R(x, y) is a covariance function.
-
Integral Operators Basic in Random Fields Estimation Theory
arXiv: Mathematical Physics, 2004Co-Authors: Alexander Kozhevnikov, Alexander G. RammAbstract:The paper deals with the basic integral equation of random field Estimation Theory by the criterion of minimum of variance of the error estimate. This integral equation is of the first kind. The corresponding integra$ operator over a bounded domain $\Omega $ in ${\Bbb R}^{n}$ is weakly singular. This operator is an isomorphism between appropriate Sobolev spaces. This is proved by a reduction of the integral equ$ an elliptic boundary value problem in the domain exterior to $\Omega .$ Extra difficulties arise due to the fact that the exterior boundary value problem should be solved in the Sobolev spaces of negative order.
Antonio Vicino - One of the best experts on this subject based on the ideXlab platform.
-
optimal Estimation Theory for dynamic systems with set membership uncertainty an overview
Automatica, 1991Co-Authors: M Milanese, Antonio VicinoAbstract:In many problems such as linear and nonlinear regressions, parameter and state Estimation of dynamic systems, state-space and time series prediction, interpolation, smoothing and functions approximation, one has to evaluate some unknown variable using available data. The data are always associated with some uncertainty and it is necessary to evaluate how this uncertainty affects the estimated variables. Typically, the problem is approached assuming a probabilistic description of uncertainty and applying statistical Estimation Theory. An interesting alternative approach, referred to as set membership or unknown but bounded (UBB) error description, has been investigated since the late 1960s. In this approach, uncertainty is described by an additive noise which is known only to have given integral (typically l2 of l1) or componentwise (l∞) bounds. In this paper we review the main results of this Theory, with special attention to the most recent advances obtained in the case of componentwise bounds.
Frank P. Ferrie - One of the best experts on this subject based on the ideXlab platform.
-
CVPR - Edge localization in surface reconstruction using optimal Estimation Theory
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1Co-Authors: S. Mathur, Frank P. FerrieAbstract:Many relaxation based smoothing methods used in surface reconstruction algorithms filter out the effect of noise in image data, but result in the elimination of important discontinuity information as well. In this paper the inter-pixel interaction during relaxation is shown to be equivalent to a multiple measurement fusion problem which can be solved using optimal Estimation Theory. Pixels in a given neighbourhood act as noisy information sources, combining their information to update the state of that neighbourhood. By formulating discontinuities as another "noise" source in the image, and by using the so-called Curvature Consistency reconstruction algorithm on range images, it is shown that optimal Estimation Theory offers a method for the automatic and adaptive localization of discontinuities while providing a smooth piece wise continuous surface description.