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Physics-informed neural networks for PDE-constrained optimization and
  control
v1v2 (latest)

Physics-informed neural networks for PDE-constrained optimization and control

6 May 2022
Jostein Barry-Straume
A. Sarshar
Andrey A. Popov
Adrian Sandu
    PINNAI4CE
ArXiv (abs)PDFHTMLGithub (15★)

Papers citing "Physics-informed neural networks for PDE-constrained optimization and control"

10 / 10 papers shown
Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
Jostein Barry-Straume
Adwait D. Verulkar
A. Sarshar
Andrey A. Popov
Adrian Sandu
120
0
0
21 Oct 2025
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
Josue N. Rivera
Dengfeng Sun
316
0
0
02 Nov 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic
  Programming
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
Xiaoran Cheng
Sen Na
PINN
308
1
0
16 Sep 2024
Real-time optimal control of high-dimensional parametrized systems by
  deep learning-based reduced order models
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order modelsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
Matteo Tomasetto
Andrea Manzoni
Francesco Braghin
AI4CE
293
7
0
09 Sep 2024
PINNIES: An Efficient Physics-Informed Neural Network Framework to
  Integral Operator Problems
PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems
Alireza Afzal Aghaei
Mahdi Movahedian Moghaddam
Kourosh Parand
244
6
0
03 Sep 2024
Solving Elliptic Optimal Control Problems via Neural Networks and
  Optimality System
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality SystemAdvances in Computational Mathematics (Adv. Comput. Math.), 2023
Yongcheng Dai
Bangti Jin
R. Sau
Zhi Zhou
308
10
0
23 Aug 2023
The Hard-Constraint PINNs for Interface Optimal Control Problems
The Hard-Constraint PINNs for Interface Optimal Control ProblemsSIAM Journal on Scientific Computing (SISC), 2023
M. Lai
Yongcun Song
Xiaoming Yuan
Hangrui Yue
Tianyou Zeng
PINN
219
15
0
13 Aug 2023
Accelerated primal-dual methods with enlarged step sizes and operator
  learning for nonsmooth optimal control problems
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems
Yongcun Song
Xiaoming Yuan
Hangrui Yue
AI4CE
296
7
0
01 Jul 2023
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained
  Optimization: A Deep Learning Approach
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
Yongcun Song
Xiaoming Yuan
Hangrui Yue
PINN
257
6
0
16 Feb 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINNAI4CE
463
168
0
15 Nov 2022
1
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