A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers

By Avik Bhattacharya, Chandan Chakraborty. IEEE transactions on industrial electronics (1982. Print), 2011

378 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/82c65f044e58d3e79fe7d3071f94f398ba74eba3

How researchers see this paper

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In Electrical and Electronic Engineering

1. Mohammed Qasim
2. Parag Kanjiya
3. Vinod Khadkikar

In Electronic, Optical and Magnetic Materials

1. Mohammed Qasim
2. Parag Kanjiya
3. Vinod Khadkikar

Citations in the corpus

• Advantages of Radial Basis Function Networks for Dynamic System Design (2011, neutral): “Bhattacharya and Chakraborty [10] designed an adaptive controller based on the “adaline” network to improve the dynamic performance of a shunt-type active power filter.”
• Optimal Current Harmonic Extractor Based on Unified ADALINEs for Shunt Active Power Filters (2014, methodology): “Additional techniques in the frequency estimation and/or harmonic extraction in the APF applications are Kalman filtering methods [16]–[20], P–Q theory [1], [21], [22], D–Q theory [23], [24], PI method [25], wavelet transform [26], and artificial neural network (ANN) methods [27]–[31].”