Quantification of model uncertainty from data-Reference-Cited by-同舟云学术

Quantification of model uncertainty from data

Published:1994 Issue:2 Volume:4 Page:301-319
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust Nonlinear Control

Author:

de Vries Douwe K.,Van Hof Paul M. J. Den

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference15 articles.

1. and , ‘Adaptive Optimal Control — Thinking Man's GPC’, Prentice Hall Englewood Cliffs, NJ, 1990.

2. and , ‘An iterative identification and control strategy’, Proc. European Control Conf., Grenoble, France, 2–5 July 1991, pp. 1396–1400.

3. and , ‘Model error quantification for robust control based on quasi-bayesian estimation in closed loop’, Proc. American Control Conf., Boston, 26–28 June 1991, pp. 77–82.

4. and , ‘Quantification of uncertainty in estimation using an embedding principle’, Proc. American Control Conf., Pittsburgh, 21–23 June 1989, pp. 1416–1421.

5. and , ‘Linear and nonlinear algorithms for identification in H∞ with error bounds’, Proc. American Control Conf., Boston, 26–28 June 1991, pp. 64–69.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interval Predictor Models for Robust System Identification;2021 60th IEEE Conference on Decision and Control (CDC);2021-12-14

2. Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits;Electronics;2018-02-28

3. A local rational model approach forH∞norm estimation: With application to an active vibration isolation system;Control Engineering Practice;2017-11

4. Iterative Data-Driven H Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation;IEEE Transactions on Control Systems Technology;2014-11

5. Enhancing ℋ ∞ Norm Estimation using Local LPM/LRM Modeling: Applied to an AVIS;IFAC Proceedings Volumes;2014