System Stability Identification Based on Complex-Valued Sparse Bayesian
Sparse Bayesian learning is a hot topic in machine learning research in recent years,and the complex-valued sparse Bayesian learning algorithm based on the Szegö kernel can provide sparse rational approximation.A complex-valued sparse Bayesian learning algorithm based on the Szegö ̈kernel is proposed to determine the stability of the closed-loop system in the unit disk.This method has the advantages of giving approximate analytical expressions and a wider range of applications,and does not require parameter control for iteration optimized for fast operation.Experimental results show that this method is effective.
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