Machine Learning Accelerated PDE Backstepping Observers-Reference-Cited by-同舟云学术

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Machine Learning Accelerated PDE Backstepping Observers

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Shi Yuanyuan¹,Li Zongyi²,Yu Huan³,Steeves Drew⁴,Anandkumar Anima²,Krstic Miroslav⁴

Affiliation:

1. University of California,Department of Electrical and Computer Engineering,San Diego

2. Caltech,Department of Computing and Mathematical Sciences

3. Hong Kong University of Science and Technology (Guangzhou),Thrust of Intelligent Transportation,Guangdong,China

4. University of California,Department of Mechanical and Aerospace Engineering,San Diego

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992759.pdf?arnumber=9992759

Reference24 articles.

1. Backstepping observers for a class of parabolic PDEs

2. Output-feedback stabilization of an unstable wave equation

3. Control of a Tip-Force Destabilized Shear Beam by Observer-Based Boundary Feedback

4. Adaptive output-feedback stabilization of non-local hyperbolic PDEs

5. Stabilization of a System of $n+1$ Coupled First-Order Hyperbolic Linear PDEs With a Single Boundary Input

Cited by 6 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. Deep learning of first-order nonlinear hyperbolic conservation law solvers;Journal of Computational Physics;2024-08

2. Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D;2024 American Control Conference (ACC);2024-07-10

3. Neural operators of backstepping controller and observer gain functions for reaction–diffusion PDEs;Automatica;2024-06

4. Neural operators for accelerating scientific simulations and design;Nature Reviews Physics;2024-04-08

5. Neural Operators for Hyperbolic PDE Backstepping Feedback Laws;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

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