adaptive rbfnn-bsmc controller  (MathWorks Inc)

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:

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:

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:

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:

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:

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: