Yan Ji

Orcid: 0000-0002-3245-2437

Affiliations:
  • Qingdao University of Science and Technology, Qingdao, China


According to our database1, Yan Ji authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Iterative parameter estimation for a class of fractional-order Hammerstein nonlinear systems disturbed by colored noise.
J. Syst. Control. Eng., 2025

A novel filtering-based recursive identification method for a fractional-order Hammerstein state space system with piecewise nonlinearity.
J. Syst. Control. Eng., 2025

2024
Filtering-based gradient joint identification algorithms for nonlinear fractional-order models with colored noises.
Commun. Nonlinear Sci. Numer. Simul., March, 2024

2023
Filtering-Based Accelerated Estimation Approach for Generalized Time-Varying Systems With Disturbances and Colored Noises.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements.
J. Frankl. Inst., 2023

2022
Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory.
J. Frankl. Inst., 2022

2020
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems.
J. Frankl. Inst., 2020

2019
Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise.
J. Frankl. Inst., 2019

State space model identification of multirate processes with time-delay using the expectation maximization.
J. Frankl. Inst., 2019

Moving horizon estimation for multirate systems with time-varying time-delays.
J. Frankl. Inst., 2019

Maximum Likelihood-Based Recursive Least-Squares Algorithm for Multivariable Systems with Colored Noises Using the Decomposition Technique.
Circuits Syst. Signal Process., 2019

2017
Multiperiodicity and Exponential Attractivity of Neural Networks with Mixed Delays.
Circuits Syst. Signal Process., 2017


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