Computer Science – Other Computer Science
Scientific paper
2008-11-02
Computer Science
Other Computer Science
16th IEEE International Conference on Advanced Computing and Communication, 2008
Scientific paper
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 elegant scheme of estimating the parameters for such a fractional order process is proposed. This method employs fractional calculus theory to find equations relating the parameters that are to be estimated, and then estimates the process parameters after solving the simultaneous equations. The data used for the calculations are intentionally corrupted to simulate real-life conditions. Results show that the proposed scheme offers a very high degree of accuracy even for erroneous data.
Acharya Ayan
Janarthanan Ramadoss
Konar Amit
Maiti Deepyaman
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