Studies on fractional order differentiators and integrators: A survey
By Dr. T. K. Battula. Signal Processing, 2011
463 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/60902378d274cdd51da55cfcc1e35abf70542d3d
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In Artificial Intelligence
- Yong Zhou
- R. Stanisławski
- Krzysztof J. Latawiec
- Dumitru Băleanu
- M. Łukaniszyn
- Y. Lan
- YangQuan Chen
- Blas M. Vinagre
In Computer Networks and Communications
In Control and Systems Engineering
- Ivo Petrás
- R. Stanisławski
- Krzysztof J. Latawiec
- Yong Zhou
- Dumitru Băleanu
- Doddabhadrappla Gowda Prakasha
- M. Łukaniszyn
- Y. Lan
Citations in the corpus
- A Comparative Analysis of Laguerre-Based Approximators to the Grünwald-Letnikov Fractional-Order Difference (2015, methodology): “We refer the reader to the excellent surveys of the state of the art in discretization of fractionalorder derivatives [9–15], providing a broad spectrum of the discretizationmachinery.”
- Conceptual design of a selectable fractional-order differentiator for industrial applications (2014, background): “The use of RC ladders [8, 30] have been exercised since the mid-20th century for realizing fractional-order elements [1, 7, 10, 11], but the approximation results were disappointing—having only a very limited bandwidth with a high number of components.”
- An Efficient Numerical Technique for the Nonlinear Fractional Kolmogorov–Petrovskii–Piskunov Equation (2019, background): “Another example of an element with fractional order is fractance, which is an electrical circuit with non-integer order impedance that has both resistance and capacitance properties [14].”
- Dα‐Type Iterative Learning Control for Fractional‐Order Linear Time‐Delay Systems (2013, methodology): “Furthermore, fractional order controllers have been implemented to enhance the robustness and the performance of the control systems [11].”