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Description: robust control toolbook
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Size: 855040 |
Author: 徐达 |
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Description: Fuzzy control Design using ANFIS for a power system with svc
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Size: 4084736 |
Author: hasa moon |
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Description: ANFIS control of DC motor-ANFIS control of DC motor
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Size: 8192 |
Author: venkat |
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Description: Induction machine PWM control using PI and ANFIS
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Size: 23552 |
Author: venkat |
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Description: 本次实验通过ANFIS神经网络在用电预测中的应用, 对未来某交易时段内统负荷的预先估计。负荷预测是进行实时控制、制定运行计划和发展规划的基础,是电力市场决策支持软件的基本组成部分。-The experiment by the the ANFIS neural network in the electricity forecast, pre-estimate of future trading session system load. The load forecast is for real-time control, develop operational plans and development planning is a basic part of the electricity market decision support software.
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Size: 12288 |
Author: sunnic |
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Description: Design of ANFIS based Estimation and Control for MIMO Systems
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Size: 362496 |
Author: Thai |
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Description: 对于造型复杂工业过程控制,提出了控制ANFIS建模和应用程序的方法-For modeling complex industrial process control, a method to control ANFIS modeling and applications
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Size: 216064 |
Author: xfp |
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Description: Modeling, design & simulation of an adaptive neuro-fuzzy inference system (ANFIS) for speed control of induction motor
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Size: 803840 |
Author: wang |
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Description: Matlab 模糊控制器,ANIFS代码应用-Fuzzy Logic Control Using ANFIS
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Size: 1024 |
Author: Connor |
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Description: Sensorless control for motor by anfis on Matlab
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Size: 30720 |
Author: quocyen |
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Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
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Size: 1084416 |
Author: Gomaa Haroun |
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Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
Platform: |
Size: 1084416 |
Author: Gomaa Haroun |
Hits:
Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
Platform: |
Size: 1084416 |
Author: Gomaa Haroun |
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Description: ANFIS Simulation For Speed control of induction motor
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Size: 17408 |
Author: Vetrivel |
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Description: An article for intelligent control system by anfis approach
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Size: 48128 |
Author: Kamiorkes |
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Description: Extreme-ANFIS: A Novel Learning Approach
for Inverse Model Control of Nonlinear Dynamical Systems
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Size: 2025472 |
Author: oo25101981 |
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