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rbfnn-based sliding mode adaptive controller  (SMAC Corp)

 
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    SMAC Corp rbfnn-based sliding mode adaptive controller
    Rbfnn Based Sliding Mode Adaptive Controller, supplied by SMAC Corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rbfnn+controller/rbfnn+based+sliding+mode+adaptive+controller/pm36513540-241-23-28
    Average 90 stars, based on 1 article reviews
    rbfnn-based sliding mode adaptive controller - by Bioz Stars, 2026-09
    90/100 stars

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    Image Search Results


    Proposed RBFNN configuration.

    Journal: Micromachines

    Article Title: Investigation on GaN HEMTs Based Three-Phase STATCOM with Hybrid Control Scheme

    doi: 10.3390/mi12040464

    Figure Lengend Snippet: Proposed RBFNN configuration.

    Article Snippet: In addition, an RBFNN controller is designed for constructing a hybrid reactive power control scheme to improve the tracking speed and dynamic performance of the GaN HEMTs-based STATCOM.

    Techniques:

    Reactive power controller setting.

    Journal: Micromachines

    Article Title: Investigation on GaN HEMTs Based Three-Phase STATCOM with Hybrid Control Scheme

    doi: 10.3390/mi12040464

    Figure Lengend Snippet: Reactive power controller setting.

    Article Snippet: In addition, an RBFNN controller is designed for constructing a hybrid reactive power control scheme to improve the tracking speed and dynamic performance of the GaN HEMTs-based STATCOM.

    Techniques:

    RBFNN structure.

    Journal: Computational Intelligence and Neuroscience

    Article Title: Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN-GA)

    doi: 10.1155/2021/2000159

    Figure Lengend Snippet: RBFNN structure.

    Article Snippet: In this section, through the designed RBFNN controller, the double inverted pendulum system is simulated and controlled by Matlab, and the results show the effectiveness of RBFNN-GA. First, the control effect of the double inverted pendulum is simulated by the simulation module, and the simulation of fixed interference and random interference is carried out by simulating the Simulink module.

    Techniques:

    Algorithm flowchart of combining GA with RBFNN.

    Journal: Computational Intelligence and Neuroscience

    Article Title: Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN-GA)

    doi: 10.1155/2021/2000159

    Figure Lengend Snippet: Algorithm flowchart of combining GA with RBFNN.

    Article Snippet: In this section, through the designed RBFNN controller, the double inverted pendulum system is simulated and controlled by Matlab, and the results show the effectiveness of RBFNN-GA. First, the control effect of the double inverted pendulum is simulated by the simulation module, and the simulation of fixed interference and random interference is carried out by simulating the Simulink module.

    Techniques:

    Simulation curve of RBFNN controlling inverted pendulum.

    Journal: Computational Intelligence and Neuroscience

    Article Title: Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN-GA)

    doi: 10.1155/2021/2000159

    Figure Lengend Snippet: Simulation curve of RBFNN controlling inverted pendulum.

    Article Snippet: In this section, through the designed RBFNN controller, the double inverted pendulum system is simulated and controlled by Matlab, and the results show the effectiveness of RBFNN-GA. First, the control effect of the double inverted pendulum is simulated by the simulation module, and the simulation of fixed interference and random interference is carried out by simulating the Simulink module.

    Techniques:

    The actual value of GDP is fitted with the predicted value of RBFNN-GA.

    Journal: Computational Intelligence and Neuroscience

    Article Title: Macroeconomic Image Analysis and GDP Prediction Based on the Genetic Algorithm Radial Basis Function Neural Network (RBFNN-GA)

    doi: 10.1155/2021/2000159

    Figure Lengend Snippet: The actual value of GDP is fitted with the predicted value of RBFNN-GA.

    Article Snippet: In this section, through the designed RBFNN controller, the double inverted pendulum system is simulated and controlled by Matlab, and the results show the effectiveness of RBFNN-GA. First, the control effect of the double inverted pendulum is simulated by the simulation module, and the simulation of fixed interference and random interference is carried out by simulating the Simulink module.

    Techniques: