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检索条件"主题词=Algorithm Design And Analysis"

共 82912 条记录，以下是61-70 订阅

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analysis of the design trajectory characteristics for the minimal-time system design algorithm

Analysis of the design trajectory characteristics for the mi...

引用

Proceedings of the IEEE Circuits and Systems Symposium on Emerging Technologies

作者： A.M. Zemliak Puebla Autonomous University Puebla Mexico

The problem of minimal-time system design algorithm construction was discussed. The different design trajectories have been analyzed within the limits of the new system design methodology. The special geometrical dividing surface was defined and analyzed on the basis of before discovered acceleration effect. Numerical results of both passive and active nonlinear circuit design prove the possibility of the optimal or quasi-optimal design trajectory realization.

关键词： algorithm design and analysis System analysis and design Process design Acceleration Control theory Cost function Nonlinear circuits design automation Sparse matrices Control systems

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analysis and design of Spiral Inductor Based on the Particle Swarm Optimization algorithm

Analysis and Design of Spiral Inductor Based on the Particle...

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2010 International Conference on Microwave and Millimeter Wave Technology(2010国际微波与毫米波技术会议 ICMMT2010)

作者： Yantao Guo Qunsheng Cao College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

This paper introduces an efficient optimization technique, based on the physical model of a spiral inductor as well as the particle swarm optimization (PSO) algorithm, to radio frequency (RF) spiral inductors. Under fixed technology parameters and the working frequency, the PSO is used to determine the maximum quality factor (Q) of the spiral inductor. It is found that our results are not only in agreement with those of the Q-value lines, with the relative error within 1.25％, but also in agreement with those of the 3D electromagnetic simulation software, with the relative error within 2.80％. The simulation experiments have shown that the new technique can yield sufficient accuracy and efficient computation.

关键词： algorithm design and analysis Spirals Inductors Particle swarm optimization Radio frequency Parameter extraction design optimization Q factor Silicon Capacitance

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Intelligent algorithm of Robust design for Mechanism: Orthogonal Optimization Based on the analysis of Variance Ratio

Intelligent Algorithm of Robust Design for Mechanism: Orthog...

引用

International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Yongxian Li Jinfu Ding Bin Wang Shouyi Wu Zhejiang Normal Univ. Jinhua China

This paper presents a new intelligent algorithm of robust method for mechanism design. After primary searching optimization of the orthogonal array, the searching direction and range of orthogonal optimization is put forwarded which is based on the variance and variance ratio analysis of the orthogonal design, which is able to be circulating in the optimization searching. The intelligent orthogonal optimization is performed until error value of each variable is zero, namely the calculation is terminated when the variance ratio of each variable is equal, which is the optimal solution. Correspondingly, the variable range of the orthogonal array in preceding step is the tolerance of the optimal solution. The characteristics of this method is no need for special tolerance design, the tolerance of optimal solution is obtained when the parameter design is completed. In contrast with other robust design methods and optimization methods, this method has the advantage of less calculation time, higher speed, no exiting of prematurity of local circulation and slow convergence of global search. This paper takes a slider-crank mechanism as an example to perform robust design. From the course and results of this case, the method is simple and practical, and also it will have a good application prospect in the field of robust design.

关键词： Robustness algorithm design and analysis design optimization analysis of variance Mechatronics Automation

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Towards the generic reconfigurable accelerator: algorithm development, core design, and performance analysis

Towards the generic reconfigurable accelerator: Algorithm de...

引用

International Conference on Reconfigurable Computing and FPGAs (ReConFig)

作者： Byron Navas Johnny Oberg Ingo Sander Dept. of Electronic Systems KTH Royal Institute of Technology Stockholm Sweden

Adoption of reconfigurable computing is limited in part by the lack of simplified, economic, and reusable solutions. The significant speedup and energy saving can increase performance but also design complexity; in particular for heterogeneous SoCs blending several CPUs, GPUs, and FPGA-Accelerator Cores. On the other hand, implementing complex algorithms in hardware requires modeling and verification, not only HDL generation. Most approaches are too specific without looking for reusability. Therefore, we present a solution based on: (1) a design methodology to develop algorithms accelerated in reconfigurable/non-reconfigurable IP-Cores, using common access tools, and contemplating verification from model to embedded software stages; (2) a generic accelerator core design that enables relocation and reuse almost independently of the algorithm, and data-flow driven execution models; and (3) a performance analysis of the acceleration mechanisms included in our system (i.e., accelerator core, burst I/O transfers, and reconfiguration pre-fetch). In consequence, the implemented system accelerates algorithms (e.g., FIR and Kalman filters) with speedups up to 3 orders of magnitude, compared to processor implementations.

关键词： algorithm design and analysis System-on-chip Acceleration Software algorithms Hardware IP networks MATLAB

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Moment method analysis and genetic algorithm design of shaped beam pillbox antennas

Moment method analysis and genetic algorithm design of shape...

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Antennas and Propagation Society International Symposium

作者： P. Slattman J.R. Sanford Remec Inc. Milpitas CA USA

This paper describes a design methodology for designing shaped beam pillbox antennas using a spectrum of two-dimensional solutions (S2DS) and genetic algorithms. The pillbox antenna is a type of parallel plate waveguide antenna that can be thought of as a cylindrical reflector and feed system confined between two parallel plates. The pillbox antenna can in many respects be analyzed as a two-dimensional structure, or be divided in two two-dimensional problems, as we outline here: one for the parallel plate reflector system and one for the outer two-dimensional horn. The full three-dimensional pattern is obtained by pattern multiplication with a very high degree of accuracy in the region of interest. Likewise, the total gain is efficiently calculated as the product of the elevation gain and the azimuth gain.

关键词： algorithm design and analysis Moment methods Genetic algorithms Polarization design methodology Reflector antennas Azimuth Message-oriented middleware Antenna feeds Directive antennas

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Using One-At-A-Time Sensitivity analysis designs for Genetic algorithm Solving Continuous Network design Problems

Using One-At-A-Time Sensitivity Analysis Designs for Genetic...

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The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

作者： Meng Xu Jin Yang Ziyou Gao Institute of Systems Science School of Traffic and Transportation Beijing Jiaotong University Beijing 100044 China

This paper is focus on the parameters settings using genetic algorithm to solve continuous network design problems (CNDP). The CNDP is formulated as a bi-level programming model. The sensitive analyses method, one-at-a-time designs, is used to analyze the effects of parameters. The analyses demonstrated that the setting of population size has clear effects to the solution;the effects of crossover probability and mutation probability are less than the effects of their combinations. The fields of these parameters are also given in this paper, which avoid to set them blindly in algorithm designs.

关键词： algorithm design and analysis Sensitivity analysis Genetic algorithms Transportation Genetic mutations Context modeling Predictive models Computer networks design optimization Telecommunication traffic

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design and implementation of a RBD-based algorithm for reliability analysis of electric power communication network

Design and implementation of a RBD-based algorithm for relia...

引用

IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific

作者： Ruirui Zhang Ziyan Zhao Xi Chen Jie Li Communication Technology Department China Electrical Power Research Institute Beijing China China Guangdong Power Grip Corporation China

ISBN: (纸本)9781424452293

Reliability is one of the key issues that electric power communication network will focus on. In this paper, an efficient RBD-based algorithm for reliability analysis of electric power communication network is introduced. The object-oriented analysis and design with UML of the algorithm is presented. The implementation result using visual C# programming language is given as well. The evaluation of a real electric power communication network is performed in the end.

关键词： algorithm design and analysis Telecommunication network reliability Communication networks Power system reliability Power system stability Power systems Power system protection Optical fiber networks Printed circuits Industrial power systems

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design and analysis of test schemes for algorithm-based fault tolerance

Design and analysis of test schemes for algorithm-based faul...

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International Symposium on Fault-Tolerant Computing (FTCS)

作者： D. Gu D.J. Rosenkrantz S.S. Ravil Department of Computer Sciences SUNY at Albany Albany NY USA Dept. of Comput. Sci. State Univ. of New York Albany NY USA

The design and analysis of test schemes for algorithm-based fault tolerance (ABFT) are examined. The problem is studied under the assumption that no bound is imposed on the size of a test. Upper and lower bounds are established on the number of tests needed to detect a given number of errors. These bounds are sharply different from those previously established under the bounded test size model. The test schemes presented are easy to implement. It is also shown that the design problem for fault detection is NP-hard even when only one fault needs to be detected. It is shown that the analysis problem is, in general, co-NP-complete and hence unlikely to be efficiently solvable. Several restricted versions of the problem that can be solved efficiently are identified. In addition, a new branch-and-bound algorithm for determining the error detectability of a system is presented.< >

关键词： algorithm design and analysis Fault tolerance Fault detection Computer science Computer errors Fault tolerant systems System testing Hardware Arithmetic Polynomials

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A team algorithm for robust stability analysis and control design of uncertain time-varying linear systems using piecewise quadratic Lyapunov functions

A team algorithm for robust stability analysis and control d...

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IEEE Conference on Decision and Control

作者： H.L.S. Almeida A. Bhaya D.M. Falcao E. Kaszkurewicz Lab for Parallel Computing Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil

We introduce the use of team algorithms using piecewise quadratic simultaneous Lyapunov functions for robust stability analysis and control design problems involving uncertain time-varying linear systems. The objective is to employ robust stability criteria that are less conservative than the well-known quadratic stability approach. The use of piecewise quadratic Lyapunov functions leads to a non-convex optimization problem, which is solved by a team algorithm that is a combination of a genetic algorithm with an interior-point method for linear matrix inequalities. Numerical examples are given, showing the advantages of the proposed solution.

关键词： Robust stability algorithm design and analysis Control design Lyapunov method Control system analysis Time varying systems Linear systems Stability criteria Optimization methods Genetic algorithms

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How blind can a blind fuzzy logic controller design be? analysis of cell state space based incremental best estimate directed search algorithm

How blind can a blind fuzzy logic controller design be? Anal...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： F. Song S.M. Smith Ocean Engineering Department Florida Atlantic University Dania FL USA

Reports a discovery that has never been reported before on the global performance of Tskagi-Sugeno (TS) type fuzzy logic controller (FLC) with random rule output function parameters. We found that under certain cell resolutions, the chance that the performance of a random controller is comparable with that of a man made controller is very high. A cell state space based TS type FLC automatic parameter optimization algorithm named incremental best estimate directed search (IBEDS) is presented with a detailed analysis of its capability of designing a FLC totally without any expert knowledge. Initially, IBEDS was suggested to start with an initial training set sampled from the control surface of a FLC with poor performance. Then another random FLC is trained in an iterative procedure by a least mean square (LMS) algorithm. In each iteration, the global and local performance of the trained FLC is evaluated, the training set is then updated based on the evaluation. The initial value of the training set may need expert knowledge. However, with the discovery on random FLCs, IBEDS is found to be able to bootstrap with an empty training set, and still reach an optimal solution within a reasonable number of iterations. The mechanism behind this phenomenon is analyzed in detail with 2D and 4D inverted pendulums. It is shown that with IBEDS, a totally blind FLC design without any expert knowledge can be done efficiently.

关键词： Fuzzy logic State-space methods Automatic control Optimal control algorithm design and analysis State estimation Speech analysis Performance analysis Oceans design optimization

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