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Physics-informed Neural Networks-based Model Predictive Control for
  Multi-link Manipulators

Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators

22 September 2021
Jonas Nicodemus
Jonas Kneifl
Jörg Fehr
B. Unger
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators"

16 / 16 papers shown
Title
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer
David Felsager
Yury Brodskiy
Andriy Sarabakha
PINN
AI4CE
63
0
0
28 Apr 2025
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach
Sourav Sanyal
Amogh Joshi
M. Nagaraj
Rohan Kumar Manna
Kaushik Roy
80
1
0
09 Feb 2025
Robust Neural IDA-PBC: passivity-based stabilization under
  approximations
Robust Neural IDA-PBC: passivity-based stabilization under approximations
Santiago Sanchez-Escalonilla
Samuele Zoboli
B. Jayawardhana
18
1
0
24 Sep 2024
Adapting Physics-Informed Neural Networks for Bifurcation Detection in
  Ecological Migration Models
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models
Lujie Yin
Xing Lv
PINN
15
0
0
01 Sep 2024
Domain-decoupled Physics-informed Neural Networks with Closed-form
  Gradients for Fast Model Learning of Dynamical Systems
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems
Henrik Krauss
Tim-Lukas Habich
Max Bartholdt
Thomas Seel
Moritz Schappler
PINN
AI4CE
38
2
0
27 Aug 2024
Physics-Informed Neural Network for Multirotor Slung Load Systems
  Modeling
Physics-Informed Neural Network for Multirotor Slung Load Systems Modeling
Gil Serrano
Marcelo Jacinto
José Ribeiro-Gomes
Joao Pinto
Bruno J. Guerreiro
Alexandre Bernardino
Rita Cunha
24
0
0
15 May 2024
Physics-Informed Neural Networks with Skip Connections for Modeling and
  Control of Gas-Lifted Oil Wells
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
26
4
0
04 Mar 2024
EV-Planner: Energy-Efficient Robot Navigation via Event-Based
  Physics-Guided Neuromorphic Planner
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner
Sourav Sanyal
Rohan Kumar Manna
Kaushik Roy
34
10
0
21 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
M. Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINN
AI4CE
32
30
0
24 Jun 2023
Actor-Critic Methods using Physics-Informed Neural Networks: Control of
  a 1D PDE Model for Fluid-Cooled Battery Packs
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
Amartya Mukherjee
Jun Liu
16
0
0
18 May 2023
Physics-informed Neural Networks to Model and Control Robots: a
  Theoretical and Experimental Investigation
Physics-informed Neural Networks to Model and Control Robots: a Theoretical and Experimental Investigation
Jing-Yi Liu
P. Borja
Cosimo Della Santina
PINN
14
17
0
09 May 2023
Certified machine learning: Rigorous a posteriori error bounds for PDE
  defined PINNs
Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs
Birgit Hillebrecht
B. Unger
PINN
11
5
0
07 Oct 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed
  Neural Network
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network
Sourav Sanyal
Kaushik Roy
PINN
32
22
0
19 Sep 2022
Physics-informed neural networks for PDE-constrained optimization and
  control
Physics-informed neural networks for PDE-constrained optimization and control
Jostein Barry-Straume
A. Sarshar
Andrey A. Popov
Adrian Sandu
PINN
AI4CE
27
14
0
06 May 2022
Certified machine learning: A posteriori error estimation for
  physics-informed neural networks
Certified machine learning: A posteriori error estimation for physics-informed neural networks
Birgit Hillebrecht
B. Unger
PINN
6
15
0
31 Mar 2022
Physics-Informed Neural Nets for Control of Dynamical Systems
Physics-Informed Neural Nets for Control of Dynamical Systems
Eric A. Antonelo
E. Camponogara
L. O. Seman
Eduardo Rehbein de Souza
J. Jordanou
Jomi F. Hubner
PINN
AI4CE
24
62
0
06 Apr 2021
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