Cover Image

LyLA-Therm: Lyapunov-based Langevin Adaptive Thermodynamic Neural Network Controller

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Akbari, Saiedeh, Patil, Omkar Sudhir, Dixon, Warren E.
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems
by: Akbari, Saiedeh, et al.
Published: (2024)

Lyapunov-based Adaptive Transformer (LyAT) for Control of Stochastic Nonlinear Systems
by: Akbari, Saiedeh, et al.
Published: (2025)

Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control
by: Patil, Omkar Sudhir, et al.
Published: (2024)

Simultaneous Online System Identification and Control using Composite Adaptive Lyapunov-Based Deep Neural Networks
by: Patil, Omkar Sudhir, et al.
Published: (2023)

Adaptive Deep Neural Network-Based Control Barrier Functions
by: Sweatland, Hannah M., et al.
Published: (2024)

Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems
by: Fallin, Brandon C., et al.
Published: (2025)

Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks
by: Nino, Cristian F., et al.
Published: (2025)

System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
by: Hart, Rebecca G., et al.
Published: (2025)

Distributed RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems
by: Nino, Cristian F., et al.
Published: (2025)

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking
by: Nino, Cristian F., et al.
Published: (2025)

Bounds on Deep Neural Network Partial Derivatives with Respect to Parameters
by: Patil, Omkar Sudhir, et al.
Published: (2025)

Lyapunov-Based Kolmogorov-Arnold Network (KAN) Adaptive Control
by: Shen, Xuehui, et al.
Published: (2025)

Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations
by: Hart, Rebecca G., et al.
Published: (2025)

HyParLyVe: Hyperplane Partitioning for Neural Lyapunov Verification
by: Wayment, Jesse, et al.
Published: (2026)

Riemannian Lyapunov Optimizer: A Unified Framework for Optimization
by: Wang, Yixuan, et al.
Published: (2026)

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks
by: Gardenswartz, Max L., et al.
Published: (2025)

Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
by: Niloy, MD Abul Kashem, et al.
Published: (2026)

Adaptive Neural Control with Desired Approximation: An Integral Lyapunov Function Approach
by: Sun, Mingxuan, et al.
Published: (2025)

KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network
by: Mallick, Soumyoraj, et al.
Published: (2025)

LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction
by: Liu, Jun, et al.
Published: (2024)

Supporting Lemmas for RISE-based Control Methods
by: Kamalapurkar, Rushikesh, et al.
Published: (2013)

Lyapunov Neural Network with Region of Attraction Search
by: Wang, Zili, et al.
Published: (2024)

Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)

Resilient State Recovery using Prior Measurement Support Information
by: Zheng, Yu, et al.
Published: (2025)

Corridor-based Adaptive Control Barrier and Lyapunov Functions for Safe Mobile Robot Navigation
by: Mohammad, Nicholas, et al.
Published: (2025)

Region of Attraction Estimate Learning and Verification for Nonlinear Systems using Neural-Network-based Lyapunov Functions
by: Bechihi, Adel, et al.
Published: (2025)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

Quantifying Trade-Offs Between Stability and Goal-Obfuscation
by: Wang, Yixuan, et al.
Published: (2026)

Formally Verified Physics-Informed Neural Control Lyapunov Functions
by: Liu, Jun, et al.
Published: (2024)

An Energy-Efficient Lyapunov-Based Cooperative Adaptive Cruise Controller for Electric Vehicles
by: Faghihian, Hamed, et al.
Published: (2026)

PolarNet: Single-Minima Neural Network for Modeling Lyapunov Functions
by: Zhong, Yuan, et al.
Published: (2026)

Lyapunov Neural ODE State-Feedback Control Policies
by: Ip, Joshua Hang Sai, et al.
Published: (2024)

Adaptive Meshing for CPA Lyapunov Function Synthesis
by: Strong, Amy K., et al.
Published: (2025)

Advanced safety filter based on SOS Control Barrier and Lyapunov Functions
by: Schneeberger, Michael, et al.
Published: (2024)

Control Lyapunov Function Design via Configuration-Constrained Polyhedral Computing
by: Houska, Boris, et al.
Published: (2025)

Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
by: Bao, Yajie, et al.
Published: (2024)

Distributed Lyapunov Functions for Nonlinear Networks
by: Wang, Yiming, et al.
Published: (2025)

Towards Learning and Verifying Maximal Neural Lyapunov Functions
by: Liu, Jun, et al.
Published: (2023)

Actor-Critic Physics-informed Neural Lyapunov Control
by: Wang, Jiarui, et al.
Published: (2024)

Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
by: Liu, Jun, et al.
Published: (2023)