System Identification Algorithm for Systems with Interval Coefficients
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Abstract
In this research a new system identification algorithm is presented for obtaining an optimal set of mathematical models for system with perturbed coefficients, then this algorithm is applied practically by an “On Line System Identification Circuit”, based on real time speed response data of a permanent magnet DC motor. Such set of mathematical models represents the physical plant against all variation which may exist in its parameters, and forms a strong mathematical foundation for stability and performance analysis in control theory problems.
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References
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Enrique L. Carrillo Arroyo "Modeling and Simulation of Permanent MagnetSynchronous Motor Drive System", University Of Puerto Rico Mayagüez
Campus 2006