Recursive Identification of Time-Varying Hammerstein Systems With Matrix Forgetting
Author:
Affiliation:
1. Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/10109211/09815531.pdf?arnumber=9815531
Reference22 articles.
1. Regularized Estimation with Variable Exponential Forgetting
2. Regularized Extended Estimation With Stabilized Exponential Forgetting
3. Recursive identification of time-varying systems: Self-tuning and matrix RLS algorithms
4. Matrix forgetting factor with adaptation
5. Convex Optimization
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2. An Error Learning Scenario-Based Scheme to Quantized Identification in Wiener-Hammerstein Systems Subject to Deadzone Nonlinearity;IEEE Transactions on Automation Science and Engineering;2024
3. Recursive Identification of the ARARX Model Based on the Variational Bayes Method;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
4. Recursive Variational Inference for Total Least-Squares;IEEE Control Systems Letters;2023
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