检索结果-内蒙古大学图书馆

Diffusion robust Variable Step-Size LMS algorithm Over Distributed Networks

IEEE ACCESS 2018年 6卷 47511-47520页

作者： Huang, Wei Li, Lindong Li, Qiang Yao, Xinwei Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Zhejiang Peoples R China

In this paper, we propose a novel diffusion robust variable step-size least mean square (DRVSS-LMS) algorithm that is insensitive to impulsive noise for distributed estimation in the network. Conventional diffusion least mean square algorithms are based on the assumption that the background noise obeys Gaussian distribution. However, the performances of these algorithms are severely degraded when impulsive noises occur in the network. By introducing the Huber objective function which can significantly suppress the effect of impulsive noise on estimation performances, we introduce a novel method to respectively deal with the abnormal nodes carrying data contaminated by impulsive noise and the normal nodes without being contaminated by impulsive noise. In addition, the proposed algorithm is assigned with variable step-sizes to further improve the performances of distributed estimation. Simulation results show that the proposed DRVSS-LMS algorithm can achieve both higher convergence rate and lower steady-state misadjustment than several existing robust diffusion LMS algorithms in the presence of impulsive noise.

关键词： Distributed estimation diffusion LMS algorithm impulsive noise Huber objective function robust algorithm

来源：评论

学校读者我要写书评

暂无评论

robust load and energy management in smart grids with prosumer-integrated distributed energy resources

引用

Journal of Cleaner Production 2025年 496卷

作者： Habib, Salman Department of Control & Instrumentation Engineering King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia

This study introduces the Resilient Prosumer-Centric Energy Optimization Framework (RPEOF), a robust two-stage optimization model developed using Mixed Integer Second-Order Conic Programming (MISOCP) to address uncertainties in load demand and renewable generation within smart grids with integrated prosumers. RPEOF effectively accommodates diverse prosumer resources, including electric vehicles, batteries, and photovoltaic (PV) systems, ensuring optimal energy scheduling across entities that both produce and consume energy. By leveraging a two-stage robust optimization approach, RPEOF ensures resilience against fluctuations in renewable generation and load variations, delivering stable energy management solutions under uncertain conditions. The framework integrates the Column-and-Constraint Generation (C&CG) algorithm to enhance computational efficiency, making it suitable for large-scale and real-time applications. Simulation results highlight significant advancements, including an 18% reduction in grid energy losses, a 15.2% decrease in voltage fluctuations, a 12% increase in prosumer electricity sales, and a zero load-shedding rate, alongside a 60% reduction in computation time compared to conventional methods. Extensive testing on a 33-node test network and an actual urban grid demonstrates RPEOF's scalability and real-world applicability, emphasizing its potential to advance smart grid efficiency and support sustainable energy systems. © 2025 Elsevier Ltd

关键词： Electric vehicle Energy storage system Photovoltaic energy Prosumers robust algorithm Smart grid

来源：评论

学校读者我要写书评

暂无评论

robust Bounding Ellipsoidal Adaptive Constrained least-squares algorithm and its performance analysis

引用

DIGITAL SIGNAL PROCESSING 2016年 51卷 124-132页

作者： Zhang, Sheng Zhang, Jiashu Southwest Jiaotong Univ Sichuan Prov Key Lab Signal & Informat Proc Chengdu 610031 Peoples R China

In this paper, the robust Bounding Ellipsoidal Adaptive Constrained least-squares (BEACON) algorithm based on new set-membership error bounds is proposed to improve robustness and steady-state misalignment in impulsive noise environments. The expressions for the steady-state excess mean square error (EMSE) of the proposed robust BEACON are obtained. Simulations on system identification and double-talk scenarios show that the robust BEACON algorithm considerably outperforms the traditional BEACON algorithm in the presence of impulsive noise and the theoretical predictions are in good agreement with simulation results. (C) 2016 Elsevier Inc. All rights reserved.

关键词： Set-membership adaptive filtering Impulsive noise robust algorithm Performance analysis

来源：评论

学校读者我要写书评

暂无评论

A new robust variable weighting coefficients diffusion LMS algorithm

引用

SIGNAL PROCESSING 2017年第0期131卷 300-306页

作者： Ahn, Do-Chang Lee, Jae-Woo Shin, Seung-Jun Song, Woo-Jin Pohang Univ Sci & Technol POSTECH Dept Elect Engn Pohang South Korea

We introduce a new robust algorithm that is insensitive to impulsive noise (IN) for distributed estimation problem over adaptive networks. Motivated by the fact that each node can access to multiple spatial data, we propose to discard IN-contaminated data. Under the assumption that IN is successfully detected, we propose a cost function that considers only the uncontaminated data. The derived algorithm is the ATC diffusion LMS algorithm that has variable weighting coefficients depending on IN detection, which leads both to insensitivity to IN and to good estimation performance. A method to detect IN is also presented. Simulation results show that the proposed algorithm has good estimation performance in an environment that is subject to IN, and outperforms the conventional robust algorithms. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Adaptive networks Distributed estimation Impulsive noise robust algorithm Diffusion LMS algorithm

来源：评论

学校读者我要写书评

暂无评论

robust interpretation of single and multiple self-potential anomalies via flower pollination algorithm

引用

ARABIAN JOURNAL OF GEOSCIENCES 2020年第3期13卷 1-16页

作者： Sungkono Inst Teknol Sepuluh Nopember Dept Phys Surabaya Indonesia

Self-potential (SP) method is suitable for identifying positions of fractures, ore bodies, leakage, corrosion of metal, etc. The identification of SP anomalies can be implemented through inversion process, which not only serves to determine the best model parameters but also to estimate their uncertainties. The model parameters and their uncertainty can be determined from the posterior distribution model (PDM) of the SP anomaly inversion. To find the required PDM, in this paper, generalized likelihood uncertainty estimation (GLUE) thresholding is proposed as a joint approach together with flower pollination algorithm (FPA). This overall method is then tested on several synthetics and fields (i.e., metallic drum, Weiss, Sawoo, and LUSI anomalies) SP data containing single and multiples of SP sources. The results demonstrate that the proposed algorithm is robust for solving quantitative interpretations of SP data. Moreover, this method does not require prior assumptions over the shape of the anomaly source.

关键词： Uncertainty model parameters SP parameters robust algorithm GLUE threshold

来源：评论

学校读者我要写书评

暂无评论

A Fast and robust Reliability Evaluation algorithm for Generalized Multi-State k-out-of-n Systems

引用

IEEE TRANSACTIONS ON RELIABILITY 2009年第1期58卷 88-97页

作者： Amari, Suprasad V. Zuo, Ming J. Dill, Glenn Relex Software Corp Greensburg PA 15601 USA Univ Alberta Dept Mech Engn Edmonton AB T6G 2G8 Canada

The generalized multi-state k-out-of-n system model proposed recently provides more flexibility in describing practical systems. In this model, there are n components in the system where each component, as well as the system, can be in one of M + 1 possible states: 0, 1, ... , m. The system is in state j or above if there exists an integer value l(j <= l <= M) such that at least k(l) components are in state 1 or above. Although the model has several practical applications, existing methods for computing either the exact, or approximate reliability of these systems are computationally inefficient, and limited to very small systems. In this paper, we propose an efficient method, and a detailed algorithm to compute the exact reliability of multi-state k-out-of-n systems. The method is based on conditional probabilities, and is applicable to all cases of multi-state k-out-of-n systems: 1) constant, 2) decreasing, 3) increasing, and 4) non-monotone k values. The proposed algorithm is fast, and robust. The computational time complexity of the algorithm is O(knM), and the space complexity is O(n + M) where k = mean {k(i)}. Using this algorithm, the reliability of very large multi-state k-out-of-n systems can be computed in a short time. For example, the exact reliability of a system with 500 components with 200 possible states can be computed in less than one second. Several numerical examples, including the published examples, are considered to illustrate the effectiveness, and efficiency of the proposed method. In addition to the detailed algorithm, and theoretical background, we also provide the complete listing of the MATLAB code used in the calculations.

关键词： Generalized multi-state k-out-of-n system performance measures reliability evaluation robust algorithm

来源：评论

学校读者我要写书评

暂无评论

robust algorithms and price of robustness in shunting problems

Robust algorithms and price of robustness in shunting proble...

引用

7th Workshop on algorithmic Approaches for Transportation Modeling, Optimization, and Systems, ATMOS 2007

作者： Cicerone, Serafino D'Angelo, Gianlorenzo Di Stefano, Gabriele Frigioni, Daniele Navarra, Alfredo Dipartimento di Ingegneria Elettrica e dell'Informazione Università dell'Aquila Poggio di Roio 67040 L'Aquila Italy Dipartimento di Matematica e Informatica Università di Perugia Via Vanvitelli 1 06123 Perugia Italy

ISBN: (纸本)9783939897040

In this paper we provide efficient robust algorithms for shunting problems concerning the reordering of train cars over a hump. In particular, we study algorithms able to cope with small disruptions, as temporary and local unavailability and/or malfunctioning of key resources that can occur and affect planned operations. To this aim, a definition of robust algorithm is provided. Performances of the proposed algorithms are measured by the notion of price of robustness. Various scenarios are considered, and interesting results are presented.

关键词： Disruption Hump yard Recoverability robust algorithm robustness Shunting

来源：评论

学校读者我要写书评

暂无评论

Newer theory and more robust algorithms for computer-aided design of developable surfaces

引用

MARINE TECHNOLOGY AND SNAME NEWS 2005年第2期42卷 71-79页

作者： Konesky, B Univ British Columbia Mech Engn Dept Vancouver BC Canada

The use of developable surfaces in design is of engineering importance because of the relative ease with which they can be manufactured. The problem of how to make surfaces developable is not new. The usual technique is by using two space curves, defining the edges of the surface. These are first created, and then a set of rulings are constructed between the space curves under the constraint of being developable. A problem with existing algorithms for designing developable surfaces is the tendency to include nondevelopable portions of the surface: areas of regression. A more reliable solution to the problem of creating a developable surface is presented. The key to the method is to define the developable surface in terms of a normal directrix. The shape of the normal directrix defines the resulting developable surface. algorithms are defined to compute the shape of a normal directrix from a pair of space curves. Intersecting adjacent developable surfaces and generating the flat plate layouts were also accomplished. This paper presents research and development that started around 1987. The algorithms were implemented using ANSI C++ programming language and commercial computer-aided design and manufacturing (CAD and CAM) software programs.

关键词： information technology software software program ubc series robust algorithm space curve constraint generator Spline directrix control vertex Information Management and Systems

来源：评论

学校读者我要写书评

暂无评论

A robust TOPOLOGY-ORIENTED INCREMENTAL algorithm FOR VORONOI DIAGRAMS

引用

INTERNATIONAL JOURNAL OF COMPUTATIONAL GEOMETRY & APPLICATIONS 1994年第2期4卷 179-228页

作者： Sugihara, Kokichi Iri, Masao Univ Tokyo Fac Engn Dept Math Engn & Informat Phys Bunkyo Ku Tokyo 113 Japan

The paper presents a robust algorithm for constructing Voronoi diagrams in the plane. The algorithm is based on an incremental method, but is quite new in that it is robust against numerical errors. Conventionally, geometric algorithms have been designed on the assumption that numerical errors do not take place, and hence they are not necessarily valid for real computers where numerical errors are inevitable. The algorithm to be proposed in this paper, on the other hand, is designed with the recognition that numerical errors are inevitable in real computation;i.e., in the proposed algorithm higher priority is placed on topological structures than on numerical values. As a result, the algorithm is "completely" robust in the sense that it always gives some output however poor the precision of numerical computation may be. In general, the output cannot be more than an approximation to the true Voronoi diagram which we should have got by infinite-precision computation. However, the algorithm is asymptotically correct in the sense that the output converges to the true diagram as the precision becomes higher. Moreover, careful choice of the way of numerical computation makes the algorithm stable enough;indeed the present version of the algorithm can construct in single-precision arithmetic a correct Voronoi diagram for one million generators randomly placed in the unit square in the plane.

关键词： Voronoi diagram robust algorithm topology-oriented method incremental construction combinatorial abstraction asymptotic correctness

来源：评论

学校读者我要写书评

暂无评论

robust Initial Alignment algorithm for Platform Inertial Navigation System on Disturbance Base

Robust Initial Alignment Algorithm for Platform Inertial Nav...

引用

IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

作者： Guo Zhibin Wang Yuegang Shan Bin Huang Wuxing Xian Res Inst High Tech Sect 304 Xian Peoples R China

ISBN: (纸本)9781479969890

Focus on the initial alignment problem of vehicular platform inertial navigation system(INS) on disturbance base, the main disturbance sources include the Strong Flurry Interference, the engine working, the stuff's movement and the doors' opening and closing were analyzed and the vibration disturbance made from these sources influenced the initial alignment for vehicular platform INS seriously. This kind of vibration disturbance was too complex to establish the model, an H-infinity filter was designed for the platform INS alignment which deemed the vibration disturbance as the indeterminate interference. The simulation results showed that the initial alignment could be accomplished by using this robust algorithm and the accuracy was within 3'.

关键词： Disturbance Base Platform INS Initial Alignment H-infinity filter robust algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：