Saved in:
| Main Authors: | Li, Chuandong, Zeng, Runtian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.25262 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
by: Stiasny, Jochen, et al.
Published: (2023)
by: Stiasny, Jochen, et al.
Published: (2023)
Competitive Physics Informed Networks
by: Zeng, Qi, et al.
Published: (2022)
by: Zeng, Qi, et al.
Published: (2022)
Physics-Informed Machine Learning for Characterizing System Stability
by: Koike, Tomoki, et al.
Published: (2025)
by: Koike, Tomoki, et al.
Published: (2025)
Optimal Control using Composite Bernstein Approximants
by: MacLin, Gage, et al.
Published: (2024)
by: MacLin, Gage, et al.
Published: (2024)
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
by: Dai, Yongcheng, et al.
Published: (2023)
by: Dai, Yongcheng, et al.
Published: (2023)
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
by: Joshi, Anant A., et al.
Published: (2025)
by: Joshi, Anant A., et al.
Published: (2025)
KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems
by: Aghaei, Alireza Afzal
Published: (2024)
by: Aghaei, Alireza Afzal
Published: (2024)
Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Scalable Optimal Motion Planning for Multi-Agent Systems by Cosserat Theory of Rods
by: Golestaneh, Amirreza Fahim, et al.
Published: (2024)
by: Golestaneh, Amirreza Fahim, et al.
Published: (2024)
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems
by: Mlinarić, Petar, et al.
Published: (2024)
by: Mlinarić, Petar, et al.
Published: (2024)
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
by: Kong, Chun-Wei, et al.
Published: (2024)
by: Kong, Chun-Wei, et al.
Published: (2024)
Coverage Explorer: Coverage-guided Test Generation for Cyber Physical Systems
by: Sheikhi, Sanaz, et al.
Published: (2023)
by: Sheikhi, Sanaz, et al.
Published: (2023)
Finding Unknown Unknowns using Cyber-Physical System Simulators (Extended Report)
by: Wehbe, Semaan Douglas, et al.
Published: (2025)
by: Wehbe, Semaan Douglas, et al.
Published: (2025)
Structure-Preserving Discretization and Model Order Reduction of Boundary-Controlled 1D Port-Hamiltonian Systems
by: Toledo-Zucco, Jesus-Pablo, et al.
Published: (2024)
by: Toledo-Zucco, Jesus-Pablo, et al.
Published: (2024)
Closed-Form Robustness Bounds for Second-Order Pruning of Neural Controller Policies
by: Shamrai, Maksym
Published: (2025)
by: Shamrai, Maksym
Published: (2025)
A Framework for Solving Continuous Energy and Power System Problems using Adiabatic Quantum Computing
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis
by: Ma, Qinghua, et al.
Published: (2025)
by: Ma, Qinghua, et al.
Published: (2025)
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method
by: Huang, Kaiyang, et al.
Published: (2025)
by: Huang, Kaiyang, et al.
Published: (2025)
Linear Algebra Problems Solved by Using Damped Dynamical Systems on the Stiefel Manifold
by: Gulliksson, M, et al.
Published: (2025)
by: Gulliksson, M, et al.
Published: (2025)
Kernel-Based LMI Approaches to Solving the Hamilton-Jacobi-Bellman Equation and Nonlinear Optimal Control
by: Hamzi, Boumediene, et al.
Published: (2026)
by: Hamzi, Boumediene, et al.
Published: (2026)
Probabilistic Hazard Analysis Framework with Stochastic Optimal Control for Deteriorating Civil Infrastructure Systems
by: Jodha, Sudhir P., et al.
Published: (2026)
by: Jodha, Sudhir P., et al.
Published: (2026)
Method of Successive Approximations for Stochastic Optimal Control: Contractivity and Convergence
by: Taoufik, Safouane, et al.
Published: (2024)
by: Taoufik, Safouane, et al.
Published: (2024)
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks
by: Dong, Zhikang, et al.
Published: (2022)
by: Dong, Zhikang, et al.
Published: (2022)
Incorporating Continuous Dependence Qualifies Physics-Informed Neural Networks for Operator Learning
by: Li, Guojie, et al.
Published: (2026)
by: Li, Guojie, et al.
Published: (2026)
Implementing PID Controller on a hand follower robot using Numerical Methods
by: Mostafa, Mostafa A., et al.
Published: (2025)
by: Mostafa, Mostafa A., et al.
Published: (2025)
A Framework for Approximating Perturbed Optimal Control Problems
by: Link, Riley, et al.
Published: (2024)
by: Link, Riley, et al.
Published: (2024)
E-PINNs: Epistemic Physics-Informed Neural Networks
by: Jacob, Bruno, et al.
Published: (2025)
by: Jacob, Bruno, et al.
Published: (2025)
A Heterogeneous Multiscale Method for Efficient Simulation of Power Systems with Inverter-Based Resources
by: Huang, Kaiyang, et al.
Published: (2025)
by: Huang, Kaiyang, et al.
Published: (2025)
The Vanishing Gradient Problem for Stiff Neural Differential Equations
by: Fronk, Colby, et al.
Published: (2025)
by: Fronk, Colby, et al.
Published: (2025)
All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
by: Hasanzadeh, Milad, et al.
Published: (2026)
by: Hasanzadeh, Milad, et al.
Published: (2026)
Performance Analysis of UAV-Assisted RF-UOWC Systems
by: Devaja, Tijana, et al.
Published: (2024)
by: Devaja, Tijana, et al.
Published: (2024)
On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks
by: Srinivasan, Shriram, et al.
Published: (2023)
by: Srinivasan, Shriram, et al.
Published: (2023)
On the numerical stability of discretised Optimal Control Problems
by: Bijalwan, Ashutosh, et al.
Published: (2023)
by: Bijalwan, Ashutosh, et al.
Published: (2023)
Multi-Scenario and Stochastic Thermo-Electro-Mechanical Modeling of Failure in Power Transmission Lines
by: KC, Prakash, et al.
Published: (2024)
by: KC, Prakash, et al.
Published: (2024)
Scattering-Passive Structure-Preserving Finite Element Method for the Boundary Controlled Transport Equation with a Moving Mesh
by: Toledo-Zucco, Jesus-Pablo, et al.
Published: (2024)
by: Toledo-Zucco, Jesus-Pablo, et al.
Published: (2024)
Efficient Simulation of Singularly Perturbed Systems Using a Stabilized Multirate Explicit Scheme
by: Shi, Yibo, et al.
Published: (2025)
by: Shi, Yibo, et al.
Published: (2025)
Backward Reachability Analysis of Perturbed Continuous-Time Linear Systems Using Set Propagation
by: Wetzlinger, Mark, et al.
Published: (2023)
by: Wetzlinger, Mark, et al.
Published: (2023)
Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow
by: Singh, Shantanu, et al.
Published: (2024)
by: Singh, Shantanu, et al.
Published: (2024)
Interpolatory $\mathcal{H}_2$-optimality Conditions for Structured Linear Time-invariant Systems
by: Mlinarić, Petar, et al.
Published: (2023)
by: Mlinarić, Petar, et al.
Published: (2023)
Multi-level Optimal Control with Neural Surrogate Models
by: Kalise, Dante, et al.
Published: (2024)
by: Kalise, Dante, et al.
Published: (2024)
Similar Items
-
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks
by: Stiasny, Jochen, et al.
Published: (2023) -
Competitive Physics Informed Networks
by: Zeng, Qi, et al.
Published: (2022) -
Physics-Informed Machine Learning for Characterizing System Stability
by: Koike, Tomoki, et al.
Published: (2025) -
Optimal Control using Composite Bernstein Approximants
by: MacLin, Gage, et al.
Published: (2024) -
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
by: Dai, Yongcheng, et al.
Published: (2023)