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Data-Driven Control: Theory and Applications

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
language:
Short-container-title:

Author:

Soudbakhsh Damoon¹,Annaswamy Anuradha M.²,Wang Yan³,Brunton Steven L.⁴,Gaudio Joseph⁵,Hussain Heather⁵,Vrabie Draguna⁶,Drgona Jan⁶,Filev Dimitar³

Affiliation:

1. Temple University,Department of Mechanical Engineering,Philadelphia,PA,USA

2. Massachusetts Institute of Technology,Department of Mechanical Engineering,MA,USA

3. Ford Motor Company,Dearborn,MI,USA

4. University of Washington,Department of Mechanical Engineering,Seatle,WA,USA

5. The Boeing Company,USA

6. Pacific Northwest National Lab (PNNL),Richland,WA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156081.pdf?arnumber=10156081

Reference131 articles.

1. Convergence and consistency of recursive least squares with variable-rate forgetting

2. A historical perspective of adaptive control and learning

3. A method of solving a convex programming problem with convergence rate O(1/k2);nesterov;Soviet Mathematics Doklady,1983

4. New Algorithms for Discrete-Time Parameter Estimation

5. Multilayer feedforward networks are universal approximators

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4. Fast Charging of Li-ion Batteries via Learning and Optimization;2024 European Control Conference (ECC);2024-06-25

5. The role of identification in data‐driven policy iteration: A system theoretic study;International Journal of Robust and Nonlinear Control;2024-06-11

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