Determination of the analytical parametric relationship for output spectrum of Volterra systems based on its parametric characteristics |
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Authors: | Xingjian Jing Ziqiang Lang |
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Affiliation: | a Institute of Sound and Vibration Research, University of Southampton, University Road, Southampton SO17 1BJ, UK b Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK |
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Abstract: | The output frequency response function (OFRF) of Volterra systems can be described as a polynomial function of model parameters. However, the analytical determination of the OFRF is very computationally intensive, especially for higher order OFRF. To circumvent this problem, a numerical method can be adopted, provided that a series of simulation or experimental data for this polynomial function are given. In this study, it is theoretically shown that the analytical parametric relationship of OFRF up to any order can be determined accurately by using a simple Least Square method and every specific component of the output spectrum can also be determined explicitly, based on the OFRF's parametric characteristics. Practical techniques to obtain a unique and accurate solution for the Least Square method are discussed. This study provides a fundamental result for the determination of the analytical parametric relationship for this kind of system polynomial functions by using numerical methods. |
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Keywords: | Polynomial systems Output frequency response function Volterra systems Nonlinear systems Parametric characteristics |
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