This work proposes general formulas for designing two different topologies of fractional-order relaxation oscillators
Programmable constant phase element realization with crossbar arrays
Introduction: Constant Phase Elements (CPEs) have been widely used in many applications due to the extra degree of freedom, which offers new responses and behaviors
Comprehensive comparison based on meta-heuristic algorithms for approximation of the fractional-order Laplacian s ? as a weighted sum of first-order high-pass filters
To implement an approximation of the fractional order Laplacian operator s ? as a weighted sum of high pass filter sections, it is essential to extract the cutoff frequencies and filter gains of each section in order to achieve the lowest error possible
Effect of Different Approximation Techniques on Fractional-Order KHN Filter Design
Having an approximate realization of the fractance device is an essential part of fractional-order filter design and implementation
Modeling and analysis of fractional order DC-DC converter
Due to the non-idealities of commercial inductors, the demand for a better model that accurately describe their dynamic response is elevated
Fractional calculus definitions, approximations, and engineering applications
The basic idea behind fractional calculus is that it considers derivatives and integrals of non-integer orders giving extra degrees of freedom and tuning knobs for modeling complex and memory dependent systems with compact descriptions
Identifying the Parameters of Cole Impedance Model Using Magnitude Only and Complex Impedance Measurements: A Metaheuristic Optimization Approach
Due to the good correlation between the physiological and pathological conditions of fruits and vegetables and their equivalent Cole impedance model parameters, an accurate and reliable technique for their identification is sought by many researchers since the introduction of the model in early 1940s
Biological inspired optimization algorithms for cole-impedance parameters identification
This paper introduces new meta-heuristic optimization algorithms for extracting the parameters of the Cole-impedance model
Chaotic Flower Pollination and Grey Wolf Algorithms for parameter extraction of bio-impedance models
Precise parameter extraction of the bio-impedance models from the measured data is an important factor to evaluate the physiological changes of plant tissues
Fractional chaos maps with flower pollination algorithm for chaotic systemsÂ’ parameters identification
Meta-heuristic optimization algorithms are the new gate in solving most of the complicated nonlinear systems