Deterministic and Stochastic Modeling Approaches for Saturation Nonlinearity

Being different from the most traditional methods of nonlinearity modelling, non-parametric modelling approaches viz. deterministic and stochastic approaches for saturation nonlinearity are proposed in the sense of system impulse response. Based on deterministic approach, the closed-loop system invo...

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Published in:Journal of physics. Conference series 2022-01, Vol.2173 (1), p.12024
Main Authors: Peng, Pai, Huang, ChunQing
Format: Article
Language:English
Subjects:
Algorithms
Closed loop systems
Feedback control
Impulse response
Nonlinearity
Physics
Saturation
Stochastic models
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description Being different from the most traditional methods of nonlinearity modelling, non-parametric modelling approaches viz. deterministic and stochastic approaches for saturation nonlinearity are proposed in the sense of system impulse response. Based on deterministic approach, the closed-loop system involved saturation nonlinearity can be modelled as the response of the closed-loop system that is subject to impulse stimulation. Alternatively, the closed-loop system involved saturation nonlinearity can be modelled in stochastic manner, in which the impulse response coefficients are estimated by the FCOR algorithm. Moreover, it shows some linear relationship of the impulse response coefficients between different saturation ratios in both the deterministic and stochastic models. This is illustrated by three different numerical examples.
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subjects Algorithms
Closed loop systems
Feedback control
Impulse response
Nonlinearity
Physics
Saturation
Stochastic models
title Deterministic and Stochastic Modeling Approaches for Saturation Nonlinearity
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