Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Lai, McCloy, Ryan, Bao, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
by: Li, Haoyu, et al.
Published: (2025)
by: Li, Haoyu, et al.
Published: (2025)
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026)
by: Gokhale, Anand, et al.
Published: (2026)
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)
by: Harapanahalli, Akash, et al.
Published: (2023)
Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)
by: Li, Anran, et al.
Published: (2025)
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
by: Wei, Sihang, et al.
Published: (2025)
by: Wei, Sihang, et al.
Published: (2025)
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)
by: Bhan, Luke, et al.
Published: (2024)
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)
by: Luo, Yujia, et al.
Published: (2026)
Forward Invariance in Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)
by: Harapanahalli, Akash, et al.
Published: (2023)
Identifying Network Structure of Nonlinear Dynamical Systems: Contraction and Kuramoto Oscillators
by: Gill, Jaidev, et al.
Published: (2025)
by: Gill, Jaidev, et al.
Published: (2025)
Universal Approximation Power of Deep Residual Neural Networks via Nonlinear Control Theory
by: Tabuada, Paulo, et al.
Published: (2020)
by: Tabuada, Paulo, et al.
Published: (2020)
Composite Adaptive Control Barrier Functions for Safety-Critical Systems with Parametric Uncertainty
by: Kamaldar, Mohammadreza
Published: (2026)
by: Kamaldar, Mohammadreza
Published: (2026)
Discrete Homogeneity and Quantizer Design for Nonlinear Homogeneous Control Systems
by: Zhou, Yu, et al.
Published: (2026)
by: Zhou, Yu, et al.
Published: (2026)
Robust Stability of Neural Network Control Systems with Interval Matrix Uncertainties
by: Zhang, Yuhao, et al.
Published: (2023)
by: Zhang, Yuhao, et al.
Published: (2023)
On Composable and Parametric Uncertainty in Systems Co-Design
by: Huang, Yujun, et al.
Published: (2025)
by: Huang, Yujun, et al.
Published: (2025)
Differentiable Discrete Event Simulation for Queuing Network Control
by: Che, Ethan, et al.
Published: (2024)
by: Che, Ethan, et al.
Published: (2024)
Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity
by: Davydov, Alexander, et al.
Published: (2024)
by: Davydov, Alexander, et al.
Published: (2024)
Stabilizing Optimal Control for Nonlinear Stochastic Systems: A Parametric Gradient-Based Approach
by: Ito, Yuji, et al.
Published: (2025)
by: Ito, Yuji, et al.
Published: (2025)
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)
by: Cao, John, et al.
Published: (2025)
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
by: Ajeyemi, Damola, et al.
Published: (2025)
by: Ajeyemi, Damola, et al.
Published: (2025)
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
by: Noori, Sahel Vahedi, et al.
Published: (2024)
by: Noori, Sahel Vahedi, et al.
Published: (2024)
Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs
by: Bhan, Luke, et al.
Published: (2026)
by: Bhan, Luke, et al.
Published: (2026)
Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
by: Serry, Mohamed, et al.
Published: (2026)
by: Serry, Mohamed, et al.
Published: (2026)
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
by: Gokhale, Anand, et al.
Published: (2026)
by: Gokhale, Anand, et al.
Published: (2026)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
by: Braniff, Austin, et al.
Published: (2025)
by: Braniff, Austin, et al.
Published: (2025)
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
by: Kuang, Simon, et al.
Published: (2023)
by: Kuang, Simon, et al.
Published: (2023)
Sufficient Conditions for Detectability of Approximately Discretized Nonlinear Systems
by: Siriya, Seth, et al.
Published: (2025)
by: Siriya, Seth, et al.
Published: (2025)
Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
by: Liu, Zishun, et al.
Published: (2024)
by: Liu, Zishun, et al.
Published: (2024)
Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)
by: Elamvazhuthi, Karthik, et al.
Published: (2024)
Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems
by: Mestres, Pol, et al.
Published: (2025)
by: Mestres, Pol, et al.
Published: (2025)
Virtual Contraction Approach to Decentralized Adaptive Stabilization of Nonlinear Time-Delayed Networks
by: Kawano, Yu, et al.
Published: (2025)
by: Kawano, Yu, et al.
Published: (2025)
Verifying Closed-Loop Contractivity of Learning-Based Controllers via Partitioning
by: Davydov, Alexander
Published: (2025)
by: Davydov, Alexander
Published: (2025)
Approximate Simulation-based Hierarchical Control of Nonlinear Systems
by: Niu, Zirui, et al.
Published: (2026)
by: Niu, Zirui, et al.
Published: (2026)
Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks
by: Davydov, Alexander, et al.
Published: (2021)
by: Davydov, Alexander, et al.
Published: (2021)
Dynamic Rolling Horizon Optimization for Network-Constrained V2X Value Stacking of Electric Vehicles Under Uncertainties
by: Jiang, Canchen, et al.
Published: (2025)
by: Jiang, Canchen, et al.
Published: (2025)
RHYME-XT: A Neural Operator for Spatiotemporal Control Systems
by: Ruiter, Marijn, et al.
Published: (2026)
by: Ruiter, Marijn, et al.
Published: (2026)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
by: Braniff, Austin, et al.
Published: (2026)
by: Braniff, Austin, et al.
Published: (2026)
Computation of Maximal Admissible Robust Positive Invariant Sets for Linear Systems with Parametric and Additive Uncertainties
by: Dey, Anchita, et al.
Published: (2024)
by: Dey, Anchita, et al.
Published: (2024)
Invariance Guarantees using Continuously Parametrized Control Barrier Functions
by: Jang, Inkyu, et al.
Published: (2025)
by: Jang, Inkyu, et al.
Published: (2025)
Similar Items
-
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
by: Li, Haoyu, et al.
Published: (2025) -
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026) -
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023) -
Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025) -
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
by: Wei, Sihang, et al.
Published: (2025)