Reliably-stabilizing piecewise-affine neural network controllers
Fuente:
arXiv
Saved in:
| Main Authors: | Fabiani, Filippo, Goulart, Paul J. |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
by: Fabiani, Filippo, et al.
Published: (2022)
by: Fabiani, Filippo, et al.
Published: (2022)
A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)
by: Fabiani, Filippo, et al.
Published: (2024)
An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)
by: Fabiani, Filippo, et al.
Published: (2022)
Personalized incentives as feedback design in generalized Nash equilibrium problems
by: Fabiani, Filippo, et al.
Published: (2022)
by: Fabiani, Filippo, et al.
Published: (2022)
Finite-sample guarantees for data-driven forward-backward operator methods
by: Fabiani, Filippo, et al.
Published: (2025)
by: Fabiani, Filippo, et al.
Published: (2025)
Concentration inequalities for semidefinite least squares based on data
by: Fabiani, Filippo, et al.
Published: (2025)
by: Fabiani, Filippo, et al.
Published: (2025)
A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
by: Teichrib, Dieter, et al.
Published: (2025)
by: Teichrib, Dieter, et al.
Published: (2025)
Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)
by: Hose, Henrik, et al.
Published: (2023)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)
by: Lan, Jianglin
Published: (2024)
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)
by: Wu, Long, et al.
Published: (2024)
Tuning the burn-in phase in training recurrent neural networks improves their performance
by: Schiller, Julian D., et al.
Published: (2026)
by: Schiller, Julian D., et al.
Published: (2026)
A minimax optimal control approach for robust neural ODEs
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents
by: Fabiani, Filippo, et al.
Published: (2023)
by: Fabiani, Filippo, et al.
Published: (2023)
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
by: Masti, Daniele, et al.
Published: (2023)
by: Masti, Daniele, et al.
Published: (2023)
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
by: Pereira, Lucas, et al.
Published: (2024)
by: Pereira, Lucas, et al.
Published: (2024)
Convergence and stability of Q-learning in Hierarchical Reinforcement Learning
by: Manenti, Massimiliano, et al.
Published: (2025)
by: Manenti, Massimiliano, et al.
Published: (2025)
Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks
by: Christianson, Nicolas, et al.
Published: (2024)
by: Christianson, Nicolas, et al.
Published: (2024)
Robust Neural IDA-PBC: passivity-based stabilization under approximations
by: Sanchez-Escalonilla, Santiago, et al.
Published: (2024)
by: Sanchez-Escalonilla, Santiago, et al.
Published: (2024)
On the Hopf-Cole Transform for Control-affine Schrödinger Bridge
by: Teter, Alexis, et al.
Published: (2025)
by: Teter, Alexis, et al.
Published: (2025)
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
by: van Laatum, Bart, et al.
Published: (2024)
by: van Laatum, Bart, et al.
Published: (2024)
From exponential to finite/fixed-time stability: Applications to optimization
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
by: Ozaslan, Ibrahim K., et al.
Published: (2024)
Observability conditions for neural state-space models with eigenvalues and their roots of unity
by: Gracyk, Andrew
Published: (2025)
by: Gracyk, Andrew
Published: (2025)
Regret Analysis: a control perspective
by: Gibson, Travis E., et al.
Published: (2025)
by: Gibson, Travis E., et al.
Published: (2025)
Deep Long-Short Term Memory networks: Stability properties and Experimental validation
by: Bonassi, Fabio, et al.
Published: (2023)
by: Bonassi, Fabio, et al.
Published: (2023)
Risk-sensitive control as inference with Rényi divergence
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
Safe learning-based control via function-based uncertainty quantification
by: Tokmak, Abdullah, et al.
Published: (2026)
by: Tokmak, Abdullah, et al.
Published: (2026)
Towards safe control parameter tuning in distributed multi-agent systems
by: Tokmak, Abdullah, et al.
Published: (2025)
by: Tokmak, Abdullah, et al.
Published: (2025)
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method
by: Caldarelli, Edoardo, et al.
Published: (2024)
by: Caldarelli, Edoardo, et al.
Published: (2024)
A least-square method for non-asymptotic identification in linear switching control
by: Sun, Haoyuan, et al.
Published: (2024)
by: Sun, Haoyuan, et al.
Published: (2024)
Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples
by: Ferrentino, Enrico, et al.
Published: (2021)
by: Ferrentino, Enrico, et al.
Published: (2021)
What price to pay? Auto-tuning a building MPC controller for optimal economic cost
by: Yu, Jiarui, et al.
Published: (2025)
by: Yu, Jiarui, et al.
Published: (2025)
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
Best-response algorithms for a class of monotone Nash equilibrium problems with mixed-integer variables
by: Fabiani, Filippo, et al.
Published: (2023)
by: Fabiani, Filippo, et al.
Published: (2023)
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)
by: Strässer, Robin, et al.
Published: (2024)
Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)
by: Ren, Zhaolin, et al.
Published: (2024)
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
by: Zhang, Xiaole, et al.
Published: (2025)
by: Zhang, Xiaole, et al.
Published: (2025)
Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schrödinger Bridge Problem
by: Bondar, Georgiy A., et al.
Published: (2026)
by: Bondar, Georgiy A., et al.
Published: (2026)
Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)
by: Teichrib, Dieter, et al.
Published: (2023)
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
by: Castañeda, Fernando, et al.
Published: (2022)
by: Castañeda, Fernando, et al.
Published: (2022)
Similar Items
-
Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
by: Fabiani, Filippo, et al.
Published: (2022) -
A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024) -
An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022) -
Personalized incentives as feedback design in generalized Nash equilibrium problems
by: Fabiani, Filippo, et al.
Published: (2022) -
Finite-sample guarantees for data-driven forward-backward operator methods
by: Fabiani, Filippo, et al.
Published: (2025)