Affiliation:
1. College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao China
Abstract
SummaryThis paper addresses the combined estimation issues of the parameters and states for fractional‐order Hammerstein state space systems with colored noises. An extended state estimator is derived by using the parameter estimates to replace the unknown system parameters in Kalman filter. The hierarchical identification principle is introduced to solve the unknown parameters of measurement noises. By introducing the forgetting factor, an extended Kalman filtering‐based hierarchical forgetting factor stochastic gradient algorithm is presented to estimate the unknown states, parameters and fractional‐order. A numerical example is respectively presented to demonstrate the feasibility of the proposed identification algorithm. It can be seen that the estimation errors are relatively small, which reflects the proposed algorithms have good identification effect.
Funder
Natural Science Foundation of Shandong Province
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering
Cited by
36 articles.
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