MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels-Reference-Cited by-同舟云学术

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MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels

Published:2023 Issue: Volume:7 Page:3771-3776
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Wang Haoran¹^ORCID,Scurlock Brian¹,Powell Nathan²^ORCID,L’Afflitto Andrea³^ORCID,Kurdila Andrew J.¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA

2. Mechanical Engineering Department, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland

3. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA

Funder

NSF

U.S. Army Research Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7782633/9828546/10347403-aam.pdf

Reference18 articles.

1. Robust and Adaptive Control

2. Adaptive Approximation Based Control

3. Nonparametric Adaptive Control and Prediction: Theory and Randomized Algorithms

4. Reproducing kernel Hilbert space embedding for adaptive estimation of nonlinearities in piezoelectric systems

5. Adaptive estimation of external fields in reproducing kernel Hilbert spaces

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