• 제목/요약/키워드: Converge Type

검색결과 68건 처리시간 0.022초

불확실한 로봇 시스템을 위한 P형 반복 학습 제어기 (A P-type Iterative Learning Controller for Uncertain Robotic Systems)

  • 최준영;서원기
    • 전자공학회논문지SC
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    • 제41권3호
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    • pp.17-24
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    • 2004
  • 동일한 작업을 반복하여 수행하는 불확실한 로봇 시스템을 위한 P형 반복 학습 제어기를 제안한다. 제안된 반복 학습 제어기는 조인트 위치 오차로 구성되는 선형 피드백 제어기와 현재의 조인트 속도 오차로 갱신되는 피드포워드 및 피드백 학습 제어기로 구성된다. 반복 작업 동작이 계속 진행됨에 따라 조인트 위치와 속도 오차는 균일하게 0으로 수렴한다. 반복 횟수에 따라 변화하는 학습 이득을 채택함으로서 반복 횟수 영역에서 임의적으로 수렴 비율을 조절할 수 있는 조인트 위치, 속도 오차한계를 제시하고, 조인트 위치와 속도 오차는 그 한계 내에서 반복 횟수 영역에서 0으로 수렴한다. 기존의 P형 반복 학습 제어기와는 달리 제안된 반복 학습 제어 알고리즘은 학습 이득을 적절하게 설계함으로써 반복 횟수 영역에서 오차 수렴 비율의 분석과 조정을 가능하게 하는 장점이 있다.

성격유형과 독서성향 관계에 기초한 독서치료 가능성 연구 (A Study on the Possibility of Bibliotherapy based on the Relationship between Pesonality Type and Reading Tendency)

  • 한윤옥
    • 한국문헌정보학회지
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    • 제44권3호
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    • pp.25-59
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    • 2010
  • 이 연구의 목적은 성격유형별로 독서성향이나 행태에 차이가 나는지를 조사해 봄으로써 성격유형에 기반한 독서치료가 가능할지를 모색하는 것이다. 이 목적을 달성하기 위하여 책이 읽고 싶어지는 상황과 독서를 통하여 추구하고자 하는 발달과업이 감정형과 사고형, 본능형에 따라 다르게 나타나는지 조사하였다. 연구에 필요한 데이터는 수도권에 소재한 K대학의 재학생을 대상으로 수집하였으며, 통계에 이용된 설문서는 815부였다. 연구결과 감정형, 본능형, 사고형에 속하는 학생들의 독서성향이 다른 것으로 나타났다. 이 결과를 바탕으로 성격유형별 독서치료안을 개발할 수 있을 것이라고 본다.

CONVERGENCE THEOREMS OF A FINITE FAMILY OF ASYMPTOTICALLY QUASI-NONEXPANSIVE TYPE MAPPINGS IN BANACH SPACES

  • Saluja, Gurucharan Singh
    • East Asian mathematical journal
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    • 제27권1호
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    • pp.35-49
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    • 2011
  • In this paper, we study multi-step iterative algorithm with errors and give the necessary and sufficient condition to converge to com mon fixed points for a finite family of asymptotically quasi-nonexpansive type mappings in Banach spaces. Also we have proved a strong convergence theorem to converge to common fixed points for a finite family said mappings on a nonempty compact convex subset of a uniformly convex Banach spaces. Our results extend and improve the corresponding results of [2, 4, 7, 8, 9, 10, 12, 15, 20].

Convergence Analysis of a Stereophonic Echo Canceling Algorithm Using Input Signals of All Channels

  • Kim, Masanori oto;Toshihiro Furukawa;Shinsaku Mori
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.2004-2007
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    • 2002
  • In the linear combination type stereophonic echo canceller, it is known not to converge the coefficient vector of the adaptive filter to a correct echo path. In this report, we analyze the convergence value of the filter coefficient vector of the stereo echo canceling algorithm using input signals of all channels in relation to this problem. In this analysis, one of the two inputs to the un-known system and adaptive one are assumed to be a delayed and attenuated version of the other signal as a model of the input signal with a strong cross-correlation. As a result, it is shown for the coefficient vectors not to converge to echo paths, and nor to converge to the value which depends on the time delay and the attenuation of the input signal. We show that the computer simulation result are corresponding to our analytical results.

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SOME CONVERGENCE THEOREMS FOR MAPPINGS OF ASYMPTOTICALLY QUASI-NONEXPANSIVE TYPE IN BANACH SPACES

  • Chang, Shih-sen;Yuying Zhou
    • Journal of applied mathematics & informatics
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    • 제12권1_2호
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    • pp.119-127
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    • 2003
  • The purpose of this paper is to study the necessary and sufficient conditions for the sequences of Ishikawa iterative sequences with mixed errors of asymptotically quasi-nonexpansive type mappings in Banach spaces to converge to a fixed point in Banach spaces. The results presented in this paper extend and improve the corresponding results of[l-4, 7-9].

Robust System Identification Algorithm Using Cross Correlation Function

  • Takeyasu, Kazuhiro;Amemiya, Takashi;Goto, Hiroyuki;Masuda, Shiro
    • Industrial Engineering and Management Systems
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    • 제1권1호
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    • pp.79-86
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    • 2002
  • This paper proposes a new algorithm for estimating ARMA model parameters. In estimating ARMA model parameters, several methods such as generalized least square method, instrumental variable method have been developed. Among these methods, the utilization of a bootstrap type algorithm is known as one of the effective approach for the estimation, but there are cases that it does not converge. Hence, in this paper, making use of a cross correlation function and utilizing the relation of structural a priori knowledge, a new bootstrap algorithm is developed. By introducing theoretical relations, it became possible to remove terms, which is liable to include much noise. Therefore, this leads to robust parameter estimation. It is shown by numerical examples that using this algorithm, all simulation cases converge while only half cases succeeded with the previous one. As for the calculation time, judging from the fact that we got converged solutions, our proposed method is said to be superior as a whole.

New Battery Balancing Circuit using Magnetic Flux Sharing

  • Song, Sung-Geun;Park, Seong-Mi;Park, Sung-Jun
    • Journal of Power Electronics
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    • 제14권1호
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    • pp.194-201
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    • 2014
  • To increase the capacity of secondary cells, an appropriate serial composition of the battery modules is essential. The unbalance that may occur due to the series connection in such a serial composition is the main cause for declines in the efficiency and performance of batteries. Various studies have been conducted on the use of a passive or active topology to eliminate the unbalance from the series circuit of battery modules. Most topologies consist of a complex structure in which the Battery Management System (BMS) detects the voltage of each module and establishes the voltage balancing in the independent electrical power converters installed on each module by comparing the module voltage. This study proposes a new magnetic flux sharing type DC/DC converter topology in order to remove voltage unbalances from batteries. The proposed topology is characterized by a design in which all of the DC/DC convertor outputs connected to the modules converge into a single transformer. In this structure, by taking a form in which all of the battery balancing type converters share magnetic flux through a single harmonic wave transformer, all of the converter voltages automatically converge to the same voltage. This paper attempts to analyze the dynamic properties of the proposed circuit by using a Programmable Synthesizer Interface Module (PSIM), which is useful for power electronics analysis, while also attempting to demonstrate the validity of the proposed circuit through experimental results.

A NEW METHOD FOR A FINITE FAMILY OF PSEUDOCONTRACTIONS AND EQUILIBRIUM PROBLEMS

  • Anh, P.N.;Son, D.X.
    • Journal of applied mathematics & informatics
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    • 제29권5_6호
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    • pp.1179-1191
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    • 2011
  • In this paper, we introduce a new iterative scheme for finding a common element of the set of fixed points of a finite family of strict pseudocontractions and the solution set of pseudomonotone and Lipschitz-type continuous equilibrium problems. The scheme is based on the idea of extragradient methods and fixed point iteration methods. We show that the iterative sequences generated by this algorithm converge strongly to the common element in a real Hilbert space.

빠른 수렴성을 갖는 로보트 학습제어 (Robot learning control with fast convergence)

  • 양원영;홍호선
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.67-71
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    • 1988
  • We present an algorithm that uses trajectory following errors to improve a feedforward command to a robot in the iterative manner. It has been shown that when the manipulator handles an unknown object, the P-type learning algorithm can make the trajectory converge to a desired path and also that the proposed learning control algorithm performs better than the other type learning control algorithm. A numerical simulation of a three degree of freedom manipulator such as PUMA-560 ROBOT has been performed to illustrate the effectiveness of the proposed learning algorithm.

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