The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform
Sun Zhiyi - One of the best experts on this subject based on the ideXlab platform.
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application of immune response Feedback Principle to hydraulic turbine system
Computer Simulation, 2007Co-Authors: Sun ZhiyiAbstract:The immune response Feedback Principle is an important method to maintain the immune balance inside organism. The function of T cells is both active and inhibitive, which provides immune system with fast response and adequate stabilization. Because of the nonlinear, time-varying and nominimum—phase characteristics of hydraulic turbine system. By comparing the control system and the immune system, an immune PID controller based on the immune system regulating law was used to control the hydraulic turbine system. Simulation analysis of the system was offered. The results show that the immune PID controller can improve the dynamic performance and strengthen the adaptive ability with fast response and strong robustness, especially, in the circumstance of foreign disturbance variation.
Fuen Zhang - One of the best experts on this subject based on the ideXlab platform.
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a novel control algorithm based on immune Feedback Principle
International Conference on Machine Learning and Cybernetics, 2002Co-Authors: Zhaohua Yang, Fuen ZhangAbstract:Based on the Feedback Principle of a nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and a nonlinear immune system model is developed. Furthermore, a novel control algorithm based on the immune Feedback Principle is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, just like the nature immune system does. It is shown that the performance of the immune Feedback controller is superior to that of an ordinary controller.
Andrey V Filyukov - One of the best experts on this subject based on the ideXlab platform.
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the implementation of the Feedback Principle in science and technics
MATEC Web of Conferences, 2017Co-Authors: Anna Buran, Vladislav E Kozlov, Andrey V FilyukovAbstract:In this study positive and negative influence of the Feedback have been examined. A Feedback Principle in the alternating current amplifier and in the speed regulator of the turbine rotation was described. The main conclusion of the positive and negative effect was obtained. Negative Feedback worsens the properties of an object, reducing a strengthening factor, delaying regulatory action. Positive Feedback considerably raises device work stability. This research will enable to identify the importance and effectiveness of the Feedback Principle in science and technics.
Alex Acero - One of the best experts on this subject based on the ideXlab platform.
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a novel decision function and the associated decision Feedback learning for speech translation
International Conference on Acoustics Speech and Signal Processing, 2011Co-Authors: Yaodong Zhang, Li Deng, Alex AceroAbstract:In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based on the Bayesian analysis, and the associated discriminative learning technique is presented based on the decision-Feedback Principle. The decision function in our end-to-end design methodology integrates acoustic scores, language model scores and translation scores to refine the translation hypotheses and to determine the best translation candidate. This Bayesian-guided decision function is then embedded into the training process that jointly learns the parameters in speech recognition and machine translation sub-systems in the overall speech translation system. The resulting decision-Feedback learning takes a functional form similar to the minimum classification error training. Experimental results obtained on the IWSLT DIALOG 2010 database showed that the proposed system outperformed the baseline system in terms of BLEU score by 2.3 points.
Zhaohua Yang - One of the best experts on this subject based on the ideXlab platform.
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a novel control algorithm based on immune Feedback Principle
International Conference on Machine Learning and Cybernetics, 2002Co-Authors: Zhaohua Yang, Fuen ZhangAbstract:Based on the Feedback Principle of a nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and a nonlinear immune system model is developed. Furthermore, a novel control algorithm based on the immune Feedback Principle is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, just like the nature immune system does. It is shown that the performance of the immune Feedback controller is superior to that of an ordinary controller.
