• Title/Summary/Keyword: Predictor

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Hybrid d-step prediction design with improved prediction performance (향상된 성능을 갖는 혼합 d-step 예측기 설계)

  • 김윤선;윤주홍;박영진
    • 제어로봇시스템학회:학술대회논문집
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    • pp.145-145
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    • 2000
  • In this paper, we propose a hybrid d-step predictor which is composed of an adaptive predictor and a Kalman predictor. We prove the performance limit of the proposed predictor. Simulation is conducted to examine the performance of the proposed predictor. Simulation results show that the proposed combined predictor is superior to the adaptive predictor and the Kalman predictor. Proposed predictor is used for prediction of gun tip vibration of k1 tank. The result is compared with that of conventional adaptive predictor.

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The Multiple Branch Predictor Using Perceptrons (퍼셉트론을 이용한 다중 분기 예측법)

  • Lee, Jong-Bok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.621-626
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    • 2009
  • This paper presents a multiple branch predictor using perceptrons. The key idea is to apply neural networks to the multiple branch predictor. We describe our design and evaluate it with the SPEC 2000 integer benchmarks. Our predictor achieves increased accuracy than the Bi-Mode and the YAGS multiple branch predictor with the same hardware cost.

Design of a G-Share Branch Predictor for EISC Processor

  • Kim, InSik;Jun, JaeYung;Na, Yeoul;Kim, Seon Wook
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.5
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    • pp.366-370
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    • 2015
  • This paper proposes a method for improving a branch predictor for the extendable instruction set computer (EISC) processor. The original EISC branch predictor has several shortcomings: a small branch target buffer, absence of a global history, a one-bit local branch history, and unsupported prediction of branches following LERI, which is a special instruction to extend an immediate value. We adopt a G-share branch predictor and eliminate the existing shortcomings. We verified the new branch predictor on a field-programmable gate array with the Dhrystone benchmark. The newly proposed EISC branch predictor also accomplishes higher branch prediction accuracy than a conventional branch predictor.

A Study on the application of Smith Predictor (Smith Predictor의 적용에 관한 연구)

  • Byun, S.H.;Lee, C.J.;Kim, E.G.
    • Proceedings of the KIEE Conference
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    • pp.642-644
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    • 1997
  • 프로세스에서의 시간지연은 프로세스의 제어에 있어서 어려움을 초래하며, 시스템의 성능저하의 원인이 되고 있다. 이러한 프로세스의 시간지연을 극복하고자 해서 제안된 제어기의 구조가 기존의 제어기에 smith predictor를 결합한 형태이다. 본 논문에서는 몇 개의 프로세스를 선택하고, PI 제어기와 smith predictor와 결합되어진 PI 제어기에 대해서 프로세스의 지연시간에 따른 컴퓨터 모의실험을 통해 smith predictor의 효용성을 논하고자 한다.

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Integral Controller Design for Time-Delay Plants Using a Simplified Predictor

  • Ishihara, Tadashi;Wu, Jingwei
    • 제어로봇시스템학회:학술대회논문집
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    • pp.90.2-90
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    • 2002
  • A new integral controller is proposed for time-delay plants. The proposed controller has Davison type structure and utilizes a simplified state predictor instead of the optimal state predictor for the extended system. The simplified predictor is introduced by a trick similar to that used in the Smith predictor. As a systematic method for designing the proposed controller, the application of the loop transfer recovery (LTR) technique is considered. For the plant input side and the output side, explicit representations of the sensitivity matrices achieved by enforcing the formal LTR procedure using Riccati equations are obtained. A numerical example is presented to compare the asymptotic...

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Data Value Predictor using Stride and Shift (스트라이드와 쉬프트를 사용한 데이터 값 예측기)

  • 최재혁;정진하;윤완오;신광식;최상방
    • Proceedings of the IEEK Conference
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    • pp.235-238
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    • 2003
  • Conventional stride predictor is useful for predicting data values which vary by a constant value. However, when the data values of shift, multiplication, and division instructions are predicted, the stride predictor can't show the best performance. Thus, we propose predictor using stride and shift to improve predictability. The predictor using stride and shift takes advantage of shift values as well as stride values, so that the overall coverage of prediction increases.

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The Performance evaluation of Data Value Predictor in ILP Processor (ILP 프로세서에서 데이터 값 예측기의 성능 평가)

  • 박희룡;전병찬;이상정
    • Proceedings of the Korean Information Science Society Conference
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    • pp.21-23
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    • 1998
  • 본 논문에서 ILP (Instruction Level Parallelism)의 성능향상을 위하여 데이터 값들을 미리 예측하여 병렬로 이슈(issue)하고 수행하는 기존의 데이터 값 예측기(data value predictor)를 비교 분석하여 각 예측기의 예측율을 측정하고, 2-단계 데이터 값 예측기(Two-Level Data Value Predictor)와 혼합형 데이터 값 예측기(Hydrid Data Value Predictor)에서 발생되는 aiasing 을 측정하기 위해 수정된 데이터 값 예측기를 사용하여 측정한 결과 aliasing은 50% 감소하였지만 예측율에는 영향을 미치지 못함과 데이터 값 예측기의 예측율을 측정한 결과 혼합형 데이터 값 예측기의 예측율이 2-단계 데이터 값 예측기와 스트라이드 데이터 값 예측기(Stride Data Value Predictor)에서 평균 5.7%, 최근 값 예측기(Last Data Value Predictor)보다는 평균 38%의 예측 정확도가 높음을 입증하였다.

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Model Reduction Method and Optimized Smith Predictor Controller Design using Reduced Model (축소모델을 이용한 최적화된 Smith Predictor 제어기 설계)

  • 최정내;조준호;이원혁;황형수
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.11
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    • pp.619-625
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    • 2003
  • We proposed an optimum PID controller design method of the Smith Predictor It can be applied to various processes. The real process is approximated via the second order plus time delay model (SOPTD) whose parameters are specified through a model reduction algorithm. We already proposed a new model reduction method that considered four point in the Nyquist curve to reduced the steady state error between the real process model and the reduced model using the gradient decent method and the genetic algorithms. In addition, the Smith predictor is used to compensate time delay of the real process model. In this paper, the new optimum parameter tuning algorithm for PID controller of the Smith Predictor is proposed through ITAE as performance index. The Simulation results show the validity and improvement of performance for various processes.

Fault Detection for Extended Kalman Filter Using a Predictor and Its Application to SDINS (예측필터를 이용한 확장칼만필터 고장검출 및 SDINS에의 적용)

  • Yu, Jae-Jong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.3
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    • pp.132-140
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    • 2006
  • In this paper, a new fault detection method for the extended Kalman filter, which uses a N-step predictor, is proposed. The N-step predictor performs the only time propagations for N-step intervals without measurement updates and its output is used as a monitoring signal for the fault detection. A consistency between the extended Kalman filter and the N-step predictor is tested to detect a fault. A test statistic is defined by the difference between the extended Kalman filter and the N-step predictor. The proposed method is applied to strapdown inertial navigation system (SDINS). By computer simulation, it is shown that the proposed method detects a fault effectively.

The effects of personal and environmental factors on adolescent' self-esteem (개인적 요인 및 환경적 요인이 청소년의 자아존중감에 미치는 영향)

  • 김희화
    • Journal of the Korean Home Economics Association
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    • v.36 no.2
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    • pp.47-60
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    • 1998
  • The effects of personal(gender, physical growth) and environmental(communication with parent, intimacy of friendship, school performance, and satisfaction of school-life) factors on adolescent's self-esteem were examined in a samlpe of 525 first and second grades in middle school. The subdomains of the self-esteem were peer-related self, home self, teacher-related self, academic self, physical appearance self, physical competence self, personality self, and general self. T-test, Pearson's correlation, and regression were used as statistical analysis. Results were as follows. First, there was evidence of a gender difference in the level of the subsdomains of self-esteem: teacher-related, physical-appearance, physical-competence, and personality. Second, the factor which was the most powerful predictor of each subdomain of the self-esteem was as follows 1) the most powerful predictor of the peer-related self was the intimacy of friendship, 2) the most powerful predictor of the home self was the communication with parent, 3) the most powerful predictor of the teacher-related self was the satisfaction of school-life, 4) the most powerful predictor of the academic self was the school performance, 5)the most powerful predictor of the physical-appearance self, the physical competence self, and the personality self was the satisfaction of school-life, 6) the most powerful predictor of the general self was the school performance.

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