This paper presents the development and comparison of muscle models based on Functional Electrical Stimulation (FES) stimulation parameters using the Nonlinear Auto-Regressive model with Exogenous Inputs (NARX) using Multi-Layer Perceptron and Cascade Forward Neural Network (CFNN). FES stimulations with varying frequency, pulse width and pulse duration were used to estimate the muscle torque. About 722 data points were used to create muscle model. One Step Ahead (OSA) prediction, correlation tests and residual histogram analysis were performed to validate the model. The optimal Multi-Layer Perceptron (MLP) results were obtained from input lag space of 1, output lag space of 43 and hidden units 30. The MLP selected a total of three terms were selected to construct the final model, which producing a final Mean Square Error (MSE) of 1.1299. The optimal CFNN results were obtained from input lag space of 1, output lag space of 5 and hidden units 20 with similar terms selected. The final MSE produced was 1.0320. The proposed approach managed to approximate the behavior of the system well with unbiased residuals, which CFNN showing 8.66% MSE improvement over MLP with 33.33% less hidden units.

No abstract

No abstract

No abstract

<span lang="EN-US">This paper presents the dynamic analysis of the high-power factor three-phase ac to dc converter using current injection hybrid resonant technique in order to investigate the characteristics of the output voltage, line current, DC-link voltage and the resonant current of the proposed converter. The dynamic analysis have been developed based on a separate analysis of the rectifier line-frequency operation and at the resonant circuit high-frequency. Converter circuit analysis have been performed based on the operation at the fundamental frequency. The power balance relation method has been included in order to match the line frequency equation with the high frequency resonant stage equation. This analysis can be envisaged to be the heart of the small-signal model to design the output voltage regulation and maintain a high-power factor input line current of the proposed converter.</span>