A novel approach for complete identification of dynamic fractional order systems using stochastic optimization algorithms and fractional calculus

This contribution deals with identification of fractional-order dynamical systems. System identification, which refers to estimation of process parameters, is a necessity in control theory. Real processes are usually of fractional order as opposed to the ideal integral order models. A simple and ele...

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Bibliographische Detailangaben

Hauptverfasser:	Maiti, D., Chakraborty, M., Konar, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biological system modeling Control systems Fractional calculus Integral equations Least squares approximation Parameter estimation Particle swarm optimization Programmable control Stochastic systems System identification
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