Physics-Informed Neural Nets for Control of Dynamical Systems

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Physics-Informed Neural Nets for Control of Dynamical Systems

Neurocomputing (Neurocomputing), 2021

6 April 2021

Eric A. Antonelo

Eduardo Rehbein de Souza

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Papers citing "Physics-Informed Neural Nets for Control of Dynamical Systems"

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Title
PCARNN-DCBF: Minimal-Intervention Geofence Enforcement for Ground Vehicles Yinan Yu Samuel Scheidegger AI4CE 138 0 0 19 Nov 2025
Data-Driven Adaptive PID Control Based on Physics-Informed Neural Networks Junsei Ito Yasuaki Wasa PINN 181 0 0 06 Oct 2025
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory Johann Licher Max Bartholdt Henrik Krauss Tim-Lukas Habich Thomas Seel Moritz Schappler 85 2 0 18 Aug 2025
A Low-complexity Structured Neural Network to Realize States of Dynamical Systems Hansaka Aluvihare Levi E. Lingsch Xianqi Li Sirani M. Perera 143 1 0 31 Mar 2025
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems Josue N. Rivera Dengfeng Sun 206 0 0 02 Nov 2024
Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement Yuan Mi Qi Wang Xueqin Hu Yike Guo J. Wen Yang Liu Hao Sun 193 1 0 26 Sep 2024
Robust Neural IDA-PBC: passivity-based stabilization under approximations Santiago Sanchez-Escalonilla Samuele Zoboli B. Jayawardhana 193 5 0 24 Sep 2024
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 217 6 0 09 Sep 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical SystemsInternational Conference on Informatics in Control, Automation and Robotics (ICINCO), 2024 Henrik Krauss Tim-Lukas Habich Max Bartholdt Thomas Seel Moritz Schappler PINN AI4CE 227 5 0 27 Aug 2024
Solving Differential Equations using Physics-Informed Deep Equilibrium Models Bruno Machado Pacheco E. Camponogara 170 1 0 05 Jun 2024
Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells Jonas Ekeland Kittelsen Eric A. Antonelo E. Camponogara Lars Struen Imsland PINN AI4CE 133 12 0 04 Mar 2024
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic PlannerIEEE Robotics and Automation Letters (RA-L), 2023 Sourav Sanyal Rohan Kumar Manna Kaushik Roy 243 17 0 21 Jul 2023
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs Amartya Mukherjee Jun Liu 94 2 0 18 May 2023
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 PINN AI4CE 278 146 0 15 Nov 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural NetworkIEEE International Conference on Robotics and Automation (ICRA), 2022 Sourav Sanyal Kaushik Roy PINN 283 30 0 19 Sep 2022
Physics-informed neural networks for PDE-constrained optimization and control Jostein Barry-Straume A. Sarshar Andrey A. Popov Adrian Sandu PINN AI4CE 194 17 0 06 May 2022
LyaNet: A Lyapunov Framework for Training Neural ODEsInternational Conference on Machine Learning (ICML), 2022 I. D. Rodriguez Aaron D. Ames Yisong Yue 187 70 0 05 Feb 2022