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Large error recovery for a class of frequency tracking algorithms

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 1998年第5期12卷 417-436页

作者： Handel, P Tichavsky, P Savaresi, SM Tampere Univ Technol Signal Proc Lab FIN-33101 Tampere Finland Acad Sci Czech Republ Inst Informat Theory & Automat Prague 18208 Czech Republic Politecn Milan Dipartimento Elettron & Informaz I-20133 Milano Italy

The performance of a recently proposed high-order adaptive notch filter (HANF) for frequency estimation and tracking is studied. An analysis technique utilizing approximations with linear filters is employed to derive closed-form performance expressions for a noisy sinusoidal input signal. Important performance measures, such as stability, noise rejection, statistical efficiency, and tracking ability, are studied in detail, and rules for the design variables are given. A study is presented where the performance of HANF is compared with the performance of a minimal order adaptive notch filter (ANF), as well as with a frequency tracker based on least squares-modelling-the multiple frequency tracker (MFT). The study reveals that HANF is a competitive alternative to ANF, but also that, in general, the MFT is the method of choice. (C) 1998 John Wiley & Sons, Ltd.

关键词： sinusoidal frequency estimation tracking algorithm frequency rate of change adaptive notch filter

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A Distributed algorithm for tracking General Functions of Multiple Signals Not-Necessarily Having Steady States

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2021年第6期68卷 2107-2111页

作者： Wang, Wuguang Chen, Fei Xiang, Linying Chen, Guanrong Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110004 Peoples R China Northeastern Univ Qinhuangdao Sch Control Engn Qinhuangdao 066004 Hebei Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

This brief exploits the possibility of devising an algorithm for tracking a general function pertaining to multiple signals from a multi-agent system in a distributed sense, where each agent has access to one single signal. Each agent's input relies solely on local neighboring information, from which some conditions on the gain parameters, the reference signals, along with the general function, are derived such that the tracking objective is attainable. The algorithm is well-defined as long as the gradient of the general function with respect to agents' states has a uniform lower bound. Under mild conditions, it is shown that the devised system is able to track a general consensus function of multiple dynamic signals, including arithmetic mean, geometric mean, and root-mean square as special examples. The effectiveness of the proposed algorithm is demonstrated via numerical examples.

关键词： Multi-agent systems Heuristic algorithms Task analysis Circuits and systems Optimization Graph theory Eigenvalues and eigenfunctions tracking algorithm signum function non-smooth analysis

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On local tracking algorithms for the simulation of three-dimensional discontinuities

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COMPUTATIONAL MECHANICS 2008年第3期42卷 395-406页

作者： Jaeger, Philippe Steinmann, Paul Kuhl, Ellen Univ Erlangen Nurnberg Dept Mech Engn D-91058 Erlangen Germany Univ Kaiserslautern Dept Mech Engn D-67653 Kaiserslautern Germany Stanford Univ Dept Mech Engn Stanford CA 94305 USA Stanford Univ Dept Bioengn Stanford CA 94305 USA

The present manuscript focuses on the algorithmic treatment of three-dimensional discontinuities within a purely displacement based finite element setting. In contrast to two-dimensional cracks, the local element based geometric representation of three-dimensional crack surfaces is non-unique and thus not straightforward. Accordingly, we compare different crack tracking strategies, one being algorithmically extremely efficient but yet somehow restrictive, the other one being more complex but rather general in nature. While the first method is able to represent entirely smooth discontinuity surfaces, the second approach introduces inter-element discontinuities in the overall crack surface representation. Both methods are compared systematically and additional comments about the algorithmic realization are provided. From the numerical results we conclude that neither of the two algorithms is able to solve all defined quality criteria satisfactorily, although both are mesh independent, computationally cheap and rather efficient. The ultimate solution might be an overall global crack surface representation that a priori circumvents a number of algorithmic deficiencies and at the same time provides a unique and smooth three-dimensional crack surface representation.

关键词： strong discontinuities 3D crack propagation tracking algorithm cohesive law

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Quadratic Adjustment with Vertex Convergence: an alternative algorithm for maximum power point tracking in photovoltaic modules 37

Quadratic Adjustment with Vertex Convergence: an alternative...

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37th IEEE Central America and Panama Convention (CONCAPAN)

作者： Hernandez-Rivera, Miguel Meza, Carlos Inst Tecnol Costa Rica Escuela Ingn Elect Cartago Costa Rica

ISBN: (纸本)9781538635094

In this article it is presented a new algorithm for the tracking of the maximum power point (PMP) in a photovoltaic module. The algorithm Quadratic Adjustment with Vertex Convergence bases its functioning on successive calculations on vertexes of parabolas that will approximate to the point where the photovoltaic system outputs the maximum power. The convergence is reached when the vertex of the last calculated parabola coincides with the maximum power operating point. This method presents a better answer to other methods such as Open Voltage and Perturb and Observe. Its use is an alternative to the method of Incremental Conductance. The new algorithm presents, as an advantage over the other algorithms, a smoother track of the changes in the solar radiation which helps to avoid perturbations on the power output, allows to calculate directly the PMP and, define a collection of neighbor values with a quadratic equation around this point.

关键词： Maximum power point tracking algorithm photovoltaic system

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tracking algorithms for TPCs using consensus-based robust estimators

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2021年 988卷 164899-164899页

作者： Zamora, J. C. Fortino, G. F. Univ Sao Paulo Inst Fis BR-05508090 Sao Paulo Brazil

A tracking algorithm(1) based on consensus-robust estimators was implemented for the analysis of experiments with time-projection chambers. In this work, few algorithms beyond RANSAC were successfully tested using experimental data taken with the AT-TPC, ACTAR and TexAT detectors. The present tracking algorithm has a better inlier-outlier detection than the simple sequential RANSAC routine. Modifications in the random sampling and clustering were included to improve the tracking efficiency. Very good results were obtained in all the test cases, in particular for fitting short tracks in the detection limit.

关键词： Time Projection Chambers Active Target tracking algorithm RANSAC Clustering

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Generalized discrete object tracking algorithms and implementations

Generalized discrete object tracking algorithms and implemen...

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Conference on Vision Geometry VI

作者： Chen, L Scientific and Practical Computing and Utah State Univ. (United States)

ISBN: (纸本)0819425907

This paper presents a general-purpose definition for discrete curves, surfaces, and manifolds. We also focus on their tracking algorithms and implementations. This definition only refers to a simple graph, G = (V, E), which is a generalized discrete space. The idea presented in this paper is to recursively define discrete curves, surfaces, solid objects and so forth. Obviously, a vertex is a point-unit-cell, and an edge is a line-unit-cell. A surface-unit-cell is a simple closed path C ( also called a cycle) if there is no pure subset of C can be a cycle. Based on this intuitive idea, n-D unit-cells can be defined in G for n > 2. For a graph G, i-D unit-cells, i = 0,..., n+1, provide a topological structure to the discrete space G. A n-D discrete manifold M is defined as (1) M consists of n-D unit-cells and any two n-D unit-cells are (n-1)-D connected, (2)each (n-1)-D unit-cell in M is contained by one or two n-D unit-cells, and (3) there is no (n+1)-D unit-cell in M. This definition extends a definition of digital manifolds(1). We have developed an linear time algorithm to decide if a subset is a discrete n-D manifold, a linear time algorithm to obtain the k-D boundary for n-D manifold. Such algorithms have been implemented in Sigma(3), a space containing all integer points. This paper also discusses the non-orientable surface, quadtree surface-unit-cell representation, and an octree solid-unit-cell representation.

关键词： digital geometry and topology image processing graph curves surfaces manifold tracking algorithm implementation

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Synthetic Scene Building for Testing Thermal Signature tracking algorithms

Synthetic Scene Building for Testing Thermal Signature Track...

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Conference on Remote Sensing System Engineering III

作者： Rhodes, David B. Ninkov, Zoran Pipher, Judith L. McMurtry, Craig W. Newman, J. Daniel Lee, Paul P. K. Gosian, Gregory J. Presnar, Michael D. Rochester Inst Technol Ctr Imaging Sci 54 Lomb Mem Dr Rochester NY 14623 USA Univ Rochester Dept Phys & Astron Rochester NY 14627 USA ITT Geospatial Syst Rochester NY 14606 USA Air Force Inst Technol Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9780819483096

The development and testing of thermal signature tracking algorithms burdens the developer with a method of testing the algorithm's fidelity. Although actual video is normally used for testing tracking algorithms, to evaluate performance in a variety of configurations, the acquisition of suitable video data volume is prohibitive. As an alternative to actual video we are developing accurate synthetic thermal infrared models of vehicles that will be incorporated into background infrared images generated using the Digital Image and Remote Sensing Image Generation (DIRSIG) software package. Motion for the targets within the background scene is generated using the open-source Simulation of Urban MObility (SUMO (TM)) software package. ThermoAnalytics' Multi-Service Electro-optic Signature (MuSES (TM)) software package is used to model thermal emission from the object of interest. The goal is to accurately incorporate thermal signatures of moving targets into realistic radiometrically calibrated scenes, and to then test and evaluate tracking algorithms using both visible and thermal infrared signatures for improved day and night detection capability. The software packages have been integrated together for a synthetic video production that was validated against real-life imagery in the visible, near infrared, and thermal infrared.

关键词： Infrared Imaging tracking algorithm DIRSIG MuSES SUMO Persistent Surveillance Synthetic Scene Generation

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Target tracking in Sensor Networks Using Energy Efficient Prediction Based Clustering algorithm

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Procedia Engineering 2012年 38卷 2070-2076页

作者： V. Pravina Dayan K.N. Vijeyakumar Department of Electronics and Communication Engineering Anna University of Technology Academic Campus Jothipuram Coimbatore-641047.INDIA

In sensor network applications, energy is considered to be the most critical constraint. Our aim is to reduce the energy consumption as well as gain efficient accuracy by integrating the concept of tracking algorithm with heuristic approach. An energy efficient prediction-based clustering algorithm is being proposed here, based on the fact that the movements of the tracked objects are sometimes predictable. The proposed algorithm helps us to reduce the transmission distance between transmitter and receiver nodes and decreases the number of transmitted packets. Only the special nodes are being activated and rest of the nodes goes to sleep mode for energy saving. The proposed method has better performance than other prediction based methods in energy efficiency when simulated

关键词： tracking algorithm Sensor network Prediction-Based Clustering algorithm Energy efficiency

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Parking Time Violation tracking Using YOLOv8 and tracking algorithms

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SENSORS 2023年第13期23卷 5843-5843页

作者： Sharma, Nabin Baral, Sushish Paing, May Phu Chawuthai, Rathachai King Mongkuts Inst Technol Ladkrabang Sch Engn Dept Robot & AI Bangkok 10520 Thailand King Mongkuts Inst Technol Ladkrabang Sch Engn Dept Biomed Engn Bangkok 10520 Thailand King Mongkuts Inst Technol Ladkrabang Sch Engn Dept Comp Engn Bangkok 10520 Thailand

The major problem in Thailand related to parking is time violation. Vehicles are not allowed to park for more than a specified amount of time. Implementation of closed-circuit television (CCTV) surveillance cameras along with human labor is the present remedy. However, this paper presents an approach that can introduce a low-cost time violation tracking system using CCTV, Deep Learning models, and object tracking algorithms. This approach is fairly new because of its appliance of the SOTA detection technique, object tracking approach, and time boundary implementations. YOLOv8, along with the DeepSORT/OC-SORT algorithm, is utilized for the detection and tracking that allows us to set a timer and track the time violation. Using the same apparatus along with Deep Learning models and algorithms has produced a better system with better performance. The performance of both tracking algorithms was well depicted in the results, obtaining MOTA scores of (1.0, 1.0, 0.96, 0.90) and (1, 0.76, 0.90, 0.83) in four different surveillance data for DeepSORT and OC-SORT, respectively.

关键词： DeepSORT OC-SORT object detection tracking algorithm vehicle tracking YOLOv8

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A Distributed algorithm for tracking General Functions in Disturbed Multi-agent Systems

A Distributed Algorithm for Tracking General Functions in Di...

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第43届中国控制会议

作者： Ruixin Jiang Haotian Wang Fei Chen College of Information Science and Engineering Northeastern University College of Artificial Intelligence Nankai University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper tackles the challenge of tracking general functions of multiple signals within disturbed first-order multi-agent systems. In this context, a team of agents collaboratively monitors time-varying signals, even when disturbances disrupt the dynamics of the single-integrator agent. Each agent relies on locally available information from its neighboring agents. The paper establishes conditions for the gain parameters, reference signals, and functions, ensuring the attainability of the tracking objective. The proposed system demonstrates its ability to track various functions of time-varying signals, including arithmetic mean, geometric mean, and root-mean square. Simulation results provide empirical validation of the algorithm's effectiveness.

关键词： Disturbed multi-agent systems tracking algorithm Non-smooth system

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