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Control Theory

85 directly classified papers

Papers per year

Papers

Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025
Online Control with Adversarial Disturbance for Continuous-time Linear Systems NIPS 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Provably Safe Neural Network Controllers via Differential Dynamic Logic NIPS 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions NIPS 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NIPS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NIPS 2024
A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023
Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales AAAI 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems NIPS 2022
Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NIPS 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022
Reachability Constrained Reinforcement Learning ICML 2022
Learning-Enabled Robust Control with Noisy Measurements L4DC 2022
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NIPS 2022
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021
Regret Bounds for Adaptive Nonlinear Control L4DC 2021
Neural Lyapunov Redesign L4DC 2021
On exploration requirements for learning safety constraints L4DC 2021
Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021