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15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Mesquine, Fouad Bakka, Othman El Bahja, Hicham Vega, Pastora Univ Caddy Ayyad Marrakech 40000 Morocco

ISBN: (纸本)9781424468508

The aim of this work is to linearize and control a non linear model of a biological nitrogen removal process. The paper illustrates the use of a linearized model in the design of an observer (software sensor) and a linear control technique based on a phenomenalogical model of the process. This model describes the complete dynamics of autotrophic and heterotrophic biomasses, biodegradable organic and nitrogenous matters. The control approach structure is combined with the estimation algorithm, for the on-line reconstruction of unmeasured biological states of the bioprocess. The efficiency of both the control and estimation are demonstrated via computer simulations.

关键词： WWTP autotrophic biomass biodegradable materials biodegradable organic matter biological nitrogen removal process biology bioprocess computer simulations digital simulation estimation algorithm heterotrophic biomass linearized model nitrogen nitrogenous matter nonlinear control systems nonlinear model observer based regulator problem observers online reconstruction phenomenalogical model renewable materials software sensor unmeasured biological states wastewater treatment process

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A Compact Dynamic Force Model for Needle-Tissue Interaction

A Compact Dynamic Force Model for Needle-Tissue Interaction

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Asadian, Ali Kermani, Mehrdad R. Patel, Rajni V. Univ Western Ontario Canadian Surg Technol & Adv Robot CSTAR London ON Canada

ISBN: (纸本)9781424441242

In this paper, the interaction force between a surgical needle and soft tissue is studied. The force is modeled using nonlinear dynamics based on a modified LuGre model that captures all stages of needle-tissue interaction including puncture, cutting, and friction forces. An estimation algorithm for identifying the associated parameters is then presented. This approach, which is based on extended Kalman filtering (EKF), enables us to characterize the interaction with a mathematical model in the force domain. It compares the axial force measured at the needle base with its expected value and then adapts the model parameters to represent the actual interaction. To evaluate the performance of our model, experiments were performed on an artificial phantom.

关键词： Kalman filters axial force biological tissues biomechanics compact dynamic force model cutting estimation algorithm estimation theory extended Kalman filtering friction friction forces medical signal processing modified LuGre model needle-tissue interaction nonlinear dynamics phantom phantoms physiological models puncture soft tissue surgery surgical needle

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Algebra over estimation algorithms: Normalization with respect to the interval

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COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS 2009年第1期49卷 194-202页

作者： D'yakonov, A. G. Moscow MV Lomonosov State Univ Fac Computat Math & Cybernet Moscow 119992 Russia

Algebra over estimation algorithms with addition, multiplication by a constant, and normalization operations is investigated. Normalization is interpreted as a linear (with respect to each row) transformation of the matrix of estimates that takes the maximum entry of the row to unity and the minimum entry to zero. The algebraic closure is described, a formula for its dimension is obtained, and correctness criteria are formulated.

关键词： pattern recognition estimation algorithm matrices of estimates correct algorithm normalization algebra over algorithms

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Parameter estimation using a novel nonlinear constrained sequential state estimator

Parameter estimation using a novel nonlinear constrained seq...

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UKACC International Conference on Control 2010

作者： Stephen C. Stubberud Kathleen A. Kramer Allen R. Stubberud Oakridge Technology Del Mar CA USA University of San Diego San Diego CA USA University of California Irvine CA USA

ISBN: (纸本)9781627481199

A sequential state estimation routine was developed to allow for the incorporation of constraints into their estimates. In this effort, the application of this powerful state estimator to the problem where parameters of the system model are incorporated into the state vector is examined. The research has looked at the issues that arise in both the open-loop implementation, such as occurs in the target tracking application, and the closed-loop implementation that occurs in the feedback control problem. This effort is aimed toward system identification of parameters that have hard limits on their values. This type of parameter estimation can provide the foundation for a training paradigm for elliptical basis functions in neural networks.

关键词： Constrained estimator Constrained parameters estimation algorithm Identification algorithm Parameter estimation State estimation Parameter estimation Systems modelling Sequential state vectors System identification feedback control Neural network

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A suboptimal estimation algorithm based on smoothing B splines

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MEASUREMENT TECHNIQUES 2006年第10期49卷 970-975页

作者： Bezuglov, D. A. Sklyarov, A. V. Zabrodin, R. A. Reshetnikova, I. V. Rostov Service Institute South Russia State University of Economics Service Russia

Smoothing cubic normalized B splines are used in synthesizing a suboptimal algorithm for estimation Oil Bayes criteria, maximum likelihood, and a posteriori density without constraint 017 the gaussial behavior of the corresponding distribution densities. The potential accuracy of the algorithm is evaluated in accordance with the Crainer-Rao inequality.

关键词： estimation algorithm smoothing B spline distribution

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Performance Comparison of the Distributed Extended Kalman Filter and Markov Chain Distributed Particle Filter (MCDPF)

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IFAC Proceedings Volumes 2010年第19期43卷 151-156页

作者： Sun Hwan Lee Matthew West Department of Aeronautics and Astronautics Stanford University Stanford CA 94305 USA Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA

We compare the performance of two distributed nonlinear estimators for a multi-vehicle flocking system using range measurements only. The estimators are the Distributed Extended Kalman Filter (DEKF) and the Markov Chain Distributed Particle Filter (MCDPF), where the distributed implementation in both cases is done using consensus-type algorithms. The performance of the estimators is compared as the system complexity (number of vehicles) and measurement frequency are varied. It is shown that for simple systems (few vehicles) or high measurement frequency the DEKF method has lower expected error than MCDPF, while for complex systems (many vehicles) or low measurement frequency the MCDPF method is both more robust and more accurate.

关键词： Target tracking filters estimation algorithm Distributed estimation Sensor network Flocking model

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A frame synchronization and frequency offset estimation algorithm for OFDM system and its analysis

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2006年第unknown期2006卷 1-16页

作者： Kishore, Ch. Nanda Reddy, V. Umapathi Hellosoft India Pvt Ltd Hyderabad 500034 Andhra Pradesh India IIIT Hyderabad Andhra Pradesh India

Orthogonal frequency division multiplexing (OFDM) is a parallel transmission scheme for transmitting data at very high rates over time dispersive radio channels. In an OFDM system, frame synchronization and frequency offset estimation are extremely important for maintaining orthogonality among the subcarriers. In this paper, for a preamble having two identical halves in time, a timing metric is proposed for OFDM frame synchronization. The timing metric is analyzed and its mean values at the preamble boundary and in its neighborhood are evaluated, for AWGN and for frequency selective channels with specified mean power profile of the channel taps, and the variance expression is derived for AWGN case. Since the derivation of the variance expression for frequency selective channel case is tedious, we used simulations to estimate the same. Based on the theoretical value of the mean and estimate of the variance, we suggest a threshold for detection of the preamble boundary and evaluating the probability of false and correct detections. We also suggest a method for a threshold selection and the preamble boundary detection in practical applications. A simple and computationally efficient method for estimating fractional and integer frequency offset, using the same preamble, is also described. Simulations are used to corroborate the results of the analysis. The proposed method of frame synchronization and frequency offset estimation is applied to the downlink synchronization in OFDM mode of wireless metropolitan area network ( WMAN) standard IEEE 802.16- 2004, and its performance is studied through simulations.

关键词： .frequency division OFDM System frequency set detections Frame Synchronization estimation algorithm preamble boundary

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Building Correct estimation algorithms as a Constrained Optimization Problem

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COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS 2008年第3期48卷 500-506页

作者： Smetanin, A. Yu. Russian Acad Sci Dorodnicyn Comp Ctr Moscow 119333 Russia

For estimation algorithms, the problem of building correct algorithms by modifying weights of features and weights of objects is examined. Criteria for the possibility to build a correct algorithm are obtained for certain cases. Conditions of the possibility to build a correct algorithm are obtained in terms of solving a constrained optimization problem. An optimization method is proposed. Under these conditions, the proposed method significantly reduces the computational complexity of synthesizing a correct algorithm.

关键词： estimation algorithm constrained optimization problem system of nonlinear algebraic equations

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Annual freshwater river mass loads from Great Britain, 1975-1994: estimation algorithm, database and monitoring network issues

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JOURNAL OF HYDROLOGY 2005年第1-4期304卷 221-237页

作者： Littlewood, IG Marsh, TJ Ctr Ecol & Hydrol Wallingford OX10 8BB Oxon England

The paper presents 20-year time series (1975-1994) of annual mass loads discharged from the aggregated freshwater-monitored area of Great Britain for suspended solids, total nitrogen, orthophosphate and zinc. Corresponding time series are also given for regional groups of catchments draining towards five sea-areas recognised for monitoring UK fluvial inputs to the North-East Atlantic. A mass load computational scheme that effectively merges the national river flow and water quality databases is used to derive the mass flow time series, and their utility is considered within the context of strategic information needs and the capabilities of current national monitoring programmes. While the aggregated annual suspended solids loads presented in the paper are often severe underestimates of the actual load, because infrequent sampling tends to miss high concentrations at high flows, the loads for total nitrogen and orthophosphate, which exhibit less variability in concentration than suspended solids, are of a more acceptable quality. Mass loads for zinc, and other determinands often recorded as 'less than a limit of detection' (< LOD), can be very uncertain. Bearing in mind the uncertainties involved, the time series presented are assessed for the presence or absence of trends. Not surprisingly, annual loads exhibit correlation with annual runoff. Except for zinc, however, there is no obvious evidence for temporal patterns in the time series that are not associated with variations in annual runoff. Zinc loadings have decreased as a result of improved environmental management in industrialized catchments. Discussion of the sources of uncertainty in regional mass flows is followed by some general recommendations related to capitalising most effectively on available mass flow time series. (c) 2004 Published by Elsevier B.V.

关键词： river mass loads fluxes estimation algorithm north sea OSPAR

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Application of an Improved Particle Filter for State estimation

Application of an Improved Particle Filter for State Estimat...

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27th Chinese Control Conference

作者： Xiang Li Liu Yu Su Baoku Harbin Inst Technol Space Control & Inertial Technol Res Ctr Harbin 150001 Peoples R China

ISBN: (纸本)9787900719706

A novel Gaussian mixture Sigma-Point. Particle Filter algorithm is proposed to mitigate the sample depletion problem. The posterior state density is represented by a Gaussian mixture model that is recovered from the weighted particle set of the measurement update step by means of a weighted Expectation-Maximization algorithm. The simulation results demonstrate the validity of the proposed algorithm.

关键词： Monte carlo simulation Particle filter estimation algorithm Bearing only tracking

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