Browsing by Subject "Parameter estimation"
Now showing items 1-20 of 79
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Conference Object
Action functional stochastic H∞ estimation for nonlinear discrete time systems
(2002)This paper presents an action functional, sample path optimization technique, for formulating and solving nonlinear discrete-time stochastic H∞ estimation problems. These H∞ problems are formulated as minimax dynamic games ...
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Article
Adaptive mixing control with multiple estimators
(2012)A recently proposed adaptive control scheme with mixing involves the use of precalculated candidate controllers whose output is weighted on the basis of the parameter estimates generated by an online parameter estimator. ...
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Article
Adaptive notch filter using real-time parameter estimation
(2011)The control of flexible systems is often difficult due to the exact frequencies of the elastic modes being hard to identify. These flexible modes may change over time, or vary between units of the same system. The variation ...
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Conference Object
ADIVIS: A novel adaptive algorithm for video streaming over the internet
(2007)The transfer of information over the wireless networks is emerging as a promising business model. In addition, new applications require the transfer of video content in real time. However, the unpredictable nature of ...
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Conference Object
Artificial neural networks in estimating marine propeller cavitation
(2002)Cavitation in marine propellers can be a serious problem that may result in severe deterioration in performance. This is particularly important in heavily loaded propellers, commonly encountered in small craft. Efforts ...
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Article
Asymptotically optimal AR spectral estimate for multistep prediction
(2000)This paper discusses the concept of asymptotic optimality from the frequency domain point of view making use of the direct method for multiple prediction. In particular, it is shown that with the use of a new autoregressive ...
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Conference Object
Atherosclerotic plaque motion analysis from ultrasound videos
(2006)In this paper, we describe a collection of algorithms that are used to provide motion trajectory estimates from atherosclerotic plaque ultrasound videos. Our approach is based on the use of four different optical flow ...
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Article
Bank filters for ML parameter estimation via the Expectation-Maximization algorithm: The continuous-time case
(1998)In this paper we consider continuous-time partially observed systems in which the parameters are unknown. We employ conditional moment generating functions of integrals and stochastic integrals to derive new maximum-likelihood ...
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Conference Object
Bispectral analysis of surface EMG
(IEEE, 2000)The objective of this ongoing study is to investigate whether or not Bispectral analysis (BS), a particular form of higher order spectra (HOS), may be utilized for analyzing the surface electromyographic signal (SEMG). The ...
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Conference Object
Certain results concerning filtering and control of diffusions in small white noise
(IEEE, 1997)The purpose of this talk is twofold. First, we examine in detail the binary hypothesis decision and/or estimation problem using a risk-sensitive cost criterion, when the state and observation processes are diffusion signals. ...
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Article
Compact linear lead/lag metamaterial phase shifters for broadband applications
(2003)A compact one-dimensional phase shifter is proposed using alternating sections of negative refractive index (NRI) metamaterials and printed transmission lines (TL). The NRI metamaterial sections consist of lumped element ...
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Article
Comparing Different Classifiers for Automatic Age Estimation
(2004)We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
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Conference Object
Computational intelligence in management of ATM networks: a survey of current state of research
(1999)Today, a number of researchers are looking at alternative non-analytical control system design and modeling techniques that have the ability to devise effective, robust ATM network management schemes. Such schemes employ ...
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Article
Conditional moment generating functions for integrals and stochastic integrals
(2003)In this paper we present two methods for computing filtered estimates for moments of integrals and stochastic integrals of continuous-time nonlinear systems. The first method utilizes recursive stochastic partial differential ...
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Conference Object
Conditional moment generating functions for integrals and stochastic integrals
(IEEE, 1997)In this paper we present two methods for computing filtered estimates for moments of integrals and stochastic integrals of continuous-time nonlinear systems. The first method utilizes recursive stochastic partial differential ...
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Conference Object
A control-oriented approach to water quality modeling of drinking water distribution systems
(1996)
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Article
Decentralized indirect adaptive control of interconnected systems
(1991)Continuous time decentralized indirect adaptive controllers are proposed for a large‐scale system composed of N interconnected linear subsystems with unknown parameters. Each local adaptive law utilizes a normalizing signal ...
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Article
Design of strictly positive real systems using constant output feedback
(1999)In this paper, the authors present a linear matrix inequality (LMI) approach to the strictly positive real (SPR) synthesis problem: find an output feedback K such that the closed-loop system T(s) is SPR. The authors establish ...
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Conference Object
Directly computable L2 and Lx performance bounds for Morse's dynamic certainty equivalence adaptive controller
(1995)In this paper we consider a model reference adaptive control scheme where the classical error augmentation and standard tuning error normalization are avoided through the use of Morse's high order tuner. We consider the ...
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Article
Distributed Finite-Time Computation of Digraph Parameters: Left-Eigenvector, Out-Degree and Spectrum
(2016)Many of the algorithms that have been proposed in the field of distributed computation rely on assumptions that require nodes to be aware of some global parameters. In this paper, we propose algorithms to compute some ...