نتایج جستجو برای: perturbation estimation

تعداد نتایج: 322413  

2007
Michael C. Fu

Perturbation analysis (PA) is a sample path technique for analyzing changes in the performance of stochastic systems due to changes in system parameters. In terms of stochastic simulation | the main setting for the application of PA | the objective is to estimate sensitivities of the performance measures of interest with respect to system parameters while obtaining estimates of performance itse...

Journal: :The Journal of neuroscience : the official journal of the Society for Neuroscience 2015
Luis F Schettino Sergei V Adamovich Hamid Bagce Mathew Yarossi Eugene Tunik

Replanning ongoing movements following perturbations requires the accurate and immediate estimation of the motor response based on sensory input. Previous studies have used transcranial magnetic stimulation (TMS) in humans to demonstrate the participation of the anterior intraparietal sulcus (aIPS) and ventral premotor cortex (PMv) in visually mediated state estimation for grasping. Here, we te...

Journal: :Iet Generation Transmission & Distribution 2022

A new type of flexible excitation system (FES) is proposed by using fully-controlled power electronic devices such as IGBTs to replace the half controlled in conventional static system, which has merit independent control rotor angle and terminal voltage synchronous generator. This paper proposes nonlinear adaptive (NAC) strategies for generator with FES a single machine infinite bus system. Ex...

Journal: :IEEE open journal of the Communications Society 2023

For the demonstration of ultra-wideband bandwidth and pencil-beamforming, terahertz (THz)-band has been envisioned as one key enabling technologies for sixth generation networks. However, acquisition THz channel entails several unique challenges such severe path loss beam-split. Prior works usually employ ultra-massive arrays additional hardware components comprised time-delayers to compensate ...

2012

Secure data intensive computing in the cloud is challenging, involving a complicated tradeoff among security, performance, extra costs, and cloud economics. Although fully homomorphic encryption is considered as the ultimate solution, it is still too expensive to be practical at the current stage. In contrast, methods that preserve special types of data utility, even with weaker security, might...

2011
Akash Rathee Harish Parthasarathy

In this paper, a frequency-variation based method has been proposed for transistor parameter estimation in a commonemitter transistor amplifier circuit. We design an algorithm to estimate the transistor parameters, based on noisy measurements of the output voltage when the input voltage is a sine wave of variable frequency and constant amplitude. The common emitter amplifier circuit has been mo...

Journal: :IJMIC 2008
Michel Fliess Cédric Join Hebertt Sira-Ramírez

Non-linear state estimation and some related topics, like parametric estimation, fault diagnosis, and perturbation attenuation, are tackled here via a new methodology in numerical differentiation. The corresponding basic system theoretic definitions and properties are presented within the framework of differential algebra, which permits to handle system variables and their derivatives of any or...

2012
WEI DOU DAVID POLLARD HARRISON H. ZHOU

In this supplemental article, we introduce some useful results in spectral theory and perturbation theory. Some of the results are well-established. We briefly review them for the purpose of easy reference. For example, the results for eigenvalues have become quite standard for decades (see, e.g. Dunford and Schwartz, 1988, Chapter VII.6). We derive a bound for the perturbation of eigenprojecti...

Journal: :Computer Vision and Image Understanding 2001
Zhaohui Sun Visvanathan Ramesh A. Murat Tekalp

This paper studies error characterization of the factorization method for 3-D shape and motion recovery from image sequences using matrix perturbation theory and covariance propagation for linear models. Given the 2-D projections of a set of feature points across multiple image frames and small perturbations/covariances of the feature point coordinates, first-order perturbation and covariance m...

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