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检索条件"主题词=Algorithm design and analysis"

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analysis and design of Event-triggered Control algorithms using Hybrid Systems Tools 56

Analysis and Design of Event-triggered Control Algorithms us...

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56th Annual IEEE Conference on Decision and Control (CDC)

作者： Chai, Jun Casau, Pedro Sanfelice, Ricardo G. Univ Calif Santa Cruz Dept Comp Engn Santa Cruz CA 95064 USA Univ Macau Fac Sci & Technol Dept Elect & Comp Engn Taipa Macau Peoples R China Univ Lisbon Inst Syst & Robot Inst Super Tecn P-1049001 Lisbon Portugal

ISBN: (纸本)9781509028733

This paper proposes a general framework for analyzing continuous-time systems controlled by event-triggered algorithms. Closed-loop systems resulting from using both static and dynamic output (or state) feedback laws that are implemented via asynchronous event-triggered techniques are modeled as hybrid systems given in terms of hybrid inclusions and studied using recently developed tools for robust stability. Properties of the proposed models, including stability of compact sets, robustness, and Zeno behavior of solutions are addressed. The framework and results are illustrated in several event-triggered strategies available in the literature.

关键词： Closed loop systems Tools algorithm design and analysis Robustness Stability analysis Time-domain analysis

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SIMULATION SCREENING EXPERIMENTS USING LASSO-OPTIMAL SUPERSATURATED design AND analysis: A MARITIME OPERATIONS APPLICATION

SIMULATION SCREENING EXPERIMENTS USING LASSO-OPTIMAL SUPERSA...

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Winter Simulation Conference on Simulation - Making Decisions in a Complex World

作者： Xing, Dadi Wan, Hong Zhu, Michael Yu Sanchez, Susan M. Kaymal, Turgut Purdue Univ Sch Ind Engn W Lafayette IN 47907 USA Purdue Univ Dept Stat W Lafayette IN 47907 USA Naval Postgrad Sch Operat Res Dept Monterey CA 93943 USA

ISBN: (纸本)9781479939503;9781479920778

Screening methods are beneficial for studies involving simulations that have a large number of variables where a relatively small (but unknown) subset is important. In this paper, we show how a newly proposed Lasso-optimal screening design and analysis method can be useful for efficiently conducting simulation screening experiments. Our approach uses new criteria for generating supersaturated designs, and a new algorithm for selecting the optimal tuning parameters for Lasso model selection. We generate a 24x69 Lasso optimal supersaturated design, illustrate its potential with a numerical evaluation, and apply it to an agent-based simulation of maritime escort operations in the Strait of Gibraltar. This application is part of a larger project that seeks to leverage simulation models during the ship design process, and so construct ships that are both cost effective and operationally effective. The supersaturated screening design has already proved beneficial for model verification and validation.

关键词： algorithm design and analysis Analytical models Educational institutions Input variables Numerical models Tuning Vectors

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Refining abstract equivalence analysis for embedded system design

Refining abstract equivalence analysis for embedded system d...

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IEEE International High-Level design Validation and Test Workshop

作者： Hsieh, H Sangiovanni-Vincentelli, A Balarin, F Lavagno, L Univ Calif Berkeley Dept EECS Berkeley CA 94720 USA

ISBN: (纸本)0769507867

The synchronous assumption has made it possible to develop efficient procedures for establishing functional equivalence between different implementations in the domains of synchronous circuits and synchronous reactive systems. This notion is extended to embedded systems that do not satisfy the synchronous assumption inside their boundaries but only at the interface with the environment [5]. Efficient, But conservative, synchronous equivalence analysis algorithms have been developed. In this work, we propose extensions to these algorithms that allow trading off the complexity with the conservativeness of the results.

关键词： algorithm design and analysis Automata Circuit synthesis Context Electronic mail Embedded system Laboratories Network synthesis Processor scheduling Space exploration

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design and analysis of Networks with Large Components in Presence of Region-Based Faults

Design and Analysis of Networks with Large Components in Pre...

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IEEE International Conference on Communications (ICC)

作者： Banerjee, Sujogya Shirazipourazad, Shahrzad Sen, Arunabha Arizona State Univ Comp Sci & Engn Program Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA

ISBN: (纸本)9781612842332

Connectivity kappa(G) of a network G is traditionally considered to be the primary metric for evaluation of its fault-tolerance capability. However, connectivity as a metric has several limitations - e.g., it has no mechanism to distinguish between localized and random faults. Also it does not provide any information about the network state, if the number of failures exceed kappa(G). The network state information that might be of interest in such a scenario is the size of the largest connected component. In this paper, we address both these limitations and introduce a new metric called region-based largest component size (RBLCS), that provides the largest size of the component in which the network decomposes once all the nodes of a region fail. We study the computational complexity of finding RBLCS for a given network. In addition, we study the problem of least cost design of a network with a target value of RBLCS. We prove that the optimal design problem is NP-complete and present a heuristic to solve the problem. We evaluate our heuristic by comparing its solutions with the optimal solutions. Experimental results demonstrate that our heuristic produces near optimal solution in a fraction of time needed to find the optimal.

关键词： algorithm design and analysis Complexity theory Layout Measurement Peer to peer computing Polynomials Wireless networks

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design of Simulation System for Multi-function Radar Behaviour analysis

Design of Simulation System for Multi-function Radar Behavio...

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Progress in Electromagnetics Research Symposium - Spring (PIERS)

作者： Ou, Jian Chen, Yongguang Zhao, Feng Yang, Jianhua Xiao, Shunping Natl Univ Def Technol Key Lab Complex Electromagnet Environm Effects El Changsha 410073 Hunan Peoples R China Beijing Inst Tracking & Telecommun Technol Beijing 100094 Peoples R China

ISBN: (纸本)9781509062690

With the development and application of the multi-function radars (MFRs), it is imperative to analyse the behaviour for jamming decisions. Simulation software for MFR behaviour analysis is designed and developed for the purpose of recognizing the operating modes and predicting the future waveforms. The software is composed of three modules of training, recognition and prediction. The training module trains the radar model by training algorithm utilize the radar signal in the database, getting the prior probabilities and transition probabilities of multiple states;and the latter two modules recognize and predict the MFR behaviours by analysing the intercepted signals based on the pre-trained model. Simulations with a hypothetical MFR signal sequence in a typical scenario are presented, showing that the software is effective in extracting the characteristics and inferring the schedule schemes. The result is helpful in making intelligent jamming decisions, and supporting the adaptive radar countermeasures.

关键词： Radar Software Prediction algorithms Training algorithm design and analysis Heuristic algorithms Analytical models

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design and analysis of a dynamic scheduling strategy with resource estimation for large-scale Grid systems 04

Design and analysis of a dynamic scheduling strategy with re...

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5th International Workshop on Grid Computing

作者： Viswanathan, S Veeravalli, B Yu, DT Robertazzi, TG Natl Univ Singapore Dept Elect & Comp Engn Singapore 117576 Singapore

ISBN: (纸本)0769522564

In this paper we present a resource conscious dynamic scheduling strategy for handling large volume computationally intensive loads in a Grid system involving multiple sources and sinks/processing nodes. We consider a "pull-based" strategy, wherein the processing nodes request load from the sources. We employ the Incremental Balancing Strategy (IBS) algorithm proposed in the literature and propose a buffer estimation strategy to derive optimal load distribution. Here, we consider non-time critical loads that arrive at arbitrary times with time varying buffer availability at sinks and utilize buffer reclamation techniques so as to schedule the loads. We demonstrate detailed workings of the proposed algorithm with illustrative examples using real-life parameters derived from STAR experiments in BNL for scheduling large volume loads.

关键词： Dynamic scheduling Large-scale systems Grid computing Processor scheduling Resource management Data analysis Computer networks algorithm design and analysis Laboratories Physics computing

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Geometry design and Structural analysis of Steel Single-Layer Geodesic Domes

Geometry Design and Structural Analysis of Steel Single-Laye...

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Baltic Geodetic Congress (BGC Geomatics)

作者： Szmit, Robert Univ Warmia & Mazury Fac Geodesy Geospatial & Civil Engn Olsztyn Poland

ISBN: (纸本)9781509060405

The research paper presents the results of a static analysis of selected geodesic domes. Geodesic domes are spherical architectonic structures formed by triangular, presenting great sturdiness while keeping the structure very light. Geodesic domes, especially single-layered, due to their small mass compared to the applied loads must be carefully analysed, not only with respect to statistics, but also subject to modal analysis. The basis for generating geodesic domes rod can be polyhedra shapely such as octahedron or icosahedron. In the first part of the paper presented the historical development of geodesic domes. The last issue showed in the work is the presentation of the results and conclusions of the analysis carried out on geodesic domes with the base of octahedron and icosahedron, depending on the density of geodetic division. Domes were loaded with its own weight and the effect of the wind.

关键词： structural engineering numerical analysis algorithm design and analysis load modeling geodesic domes

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design and analysis of Current Error Based Sampled-Data ILC with Application to Position Tracking Control of DC Motors

Design and Analysis of Current Error Based Sampled-Data ILC ...

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11th IEEE International Conference on Control and Automation (ICCA)

作者： Chien, Chiang-Ju Hung, Yu-Chung Chi, Ronghu Huafan Univ Fac Elect Engn New Taipei City Taiwan Huafan Univ Dept Elect Engn New Taipei Taiwan Qingdao Univ Sci & Technol Fac Automat & Elect Engn Qingdao Peoples R China

ISBN: (纸本)9781479928378

It is well known that it is necessary to store the system input and output of previous trial for generating the input at the current trial in the design of iterative learning controllers. In order to apply the iterative learning controller for a real application and reduce the memory size for implementation, a current error based sampled-data iterative learning controller is presented in this paper for systems with initial resetting error, input disturbance and output measurement noise. The proposed iterative learning controller is simple and effective. One of the main contributions is to prove the convergence of learning error via a rigorous technical analysis. It is shown that the learning error will converge to a residual set if a forgetting factor is introduced. Another contribution is to realize the iterative learning controller by a digital circuit using an FPGA chip with the application to a repetitive position tracking control of DC motors. The feasibility and effectiveness of the proposed current error based sampled-data iterative learning controller are demonstrated by the experiment results. The relation between the learning performance and the design parameters are also discussed.

关键词： algorithm design and analysis Convergence DC motors Digital circuits Learning systems Noise Trajectory

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Multi-Rate Broadcasting: analysis and design of Stateless algorithms

Multi-Rate Broadcasting: Analysis and Design of Stateless Al...

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IEEE 74th Vehicular Technology Conference (VTC)

作者： Banerjee, Abhik Foh, Chuan Heng Yeo, Chai Kiat Lee, Bu Sung Nanyang Technol Univ Sch Comp Engn Ctr Multimedia & Network Technol Singapore Singapore

ISBN: (纸本)9781424483273

We look at the problem of network wide broadcast using the multi-rate feature of a wireless ad hoc network. Existing research has primarily focused on achieving minimum latency by construction of minimum weight connected dominating sets (WCDS) based on neighbourhood information. In this paper, we are interested in stateless multi-rate broadcasting algorithms in which nodes determine their broadcasting behaviour based on neighbourhood transmissions. The primary contribution of this paper is that we show how broadcast effectiveness at different data rates are related and how this relationship can be used to optimize algorithm design. We propose three stateless broadcasting algorithms and demonstrate the performance improvements achievable. Our simulation results show that significant benefits can be obtained in terms of minimizing both the number of forwarding nodes as well as the broadcast latency.

关键词： Ad hoc networks algorithm design and analysis Broadcasting Heuristic algorithms Protocols Radiation detectors Simulation ad hoc networks broadcast communication broadcast latency broadcasting broadcasting behaviour neighbourhood information neighbourhood

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MapReduce design Patterns for Social Networking analysis

MapReduce Design Patterns for Social Networking Analysis

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8th IEEE International Conference on Semantic Computing

作者： Ostrowski, David Alfred Ford Motor Co Res & Innovat Ctr Syst Analyt Dearborn MI 48121 USA

ISBN: (纸本)9781479940035

The MapReduce paradigm has become ubiquitous within Big Data Analytics. Within this field, Social Networks exist as an important area of applications as it relies on the large scale analysis of graphs. To enable the scalability of Social Networks, we consider the application of MapReduce design patterns for the determination of graph-based metrics. Specifically, we detail the application of a MapReduce-based solution for the metric of betweenness-centrality. The prevailing concept is separation of the graph topology from the actual graph analysis. Here, we consider the chaining of MapReduce jobs for the estimation of shortest paths in a graph as well as postprocessing statistics. Through our design pattern, we are able to leverage BigData Technologies to determine metrics in the context of ever expanding internet-based data resources.

关键词： algorithm design and analysis Big data Clustering algorithms Conferences Context Measurement Social network services Big Data MapReduce Social Networks big data Social Networks algorithm design and analysis Social network services Clustering algorithms design pattern Social Capital Metronidazole

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