nonlinear control

Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection L4DC 2026 DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients AAAI 2026 Latent Linear Quadratic Regulator for Robotic Control Tasks L4DC 2026 Logarithmic Regret for Nonlinear Control L4DC 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 Online Policy Optimization in Unknown Nonlinear Systems COLT 2024 Online Stackelberg Optimization via Nonlinear Control COLT 2024 Random features approximation for control-affine systems L4DC 2024 Safe learning in nonlinear model predictive control L4DC 2024 Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees L4DC 2023 Exact Verification of ReLU Neural Control Barrier Functions NeurIPS 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees NeurIPS 2022 Data-driven design of switching reference governors for brake-by-wire applications L4DC 2021 Meta-Adaptive Nonlinear Control: Theory and Algorithms NeurIPS 2021 Neural Lyapunov Redesign L4DC 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions CoRL 2021 Information Theoretic Regret Bounds for Online Nonlinear Control NeurIPS 2020 Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020 Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions RSS 2020 Iterative Linearized Control: Stable Algorithms and Complexity Guarantees ICML 2019