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620 records
- Stability Margins of CBF-QP Safety Filters: Analysis and Synthesis
- Feasibility and Explicit Safety Filters for Control Barrier Functions in Linear Systems
- Data-Driven Boundary Control of Distributed Port-Hamiltonian Systems
- Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
- Lotka-Sharpe Neural Operators for Control of Population PDEs
- Augmenting Automatic Differentiation for a Single-Server Queue via the Leibniz Integral Rule
- On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
- Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization
- Global Geometry of Orthogonal Foliations of Signed-Quadratic Systems
- A Weak Notion of Symmetry for Dynamical Systems
- Sensitivity analysis for stopping criteria with application to organ transplantations
- Dynamic Weight Optimization for Double Linear Policy: A Stochastic Model Predictive Control Approach
- Sequential Monte Carlo for Network Resilience Assessment and Control
- Min-Max Grassmannian Optimization for Online Subspace Tracking
- Soft projections for robust data-driven control
- Polynomial Parametric Koopman Operators for Stochastic MPC
- Safe learning-based control via function-based uncertainty quantification
- Causal Optimal Coupling for Gaussian Input-Output Distributional Data
- Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons
- Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs
- A Continuous-Time and State-Space Relaxation of the Linear Threshold Model with Nonlinear Opinion Dynamics
- Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC
- Receding-Horizon Policy Gradient for Polytopic Controller Synthesis
- Flatness-based control of a Timoshenko beam
- Model Predictive Path Integral PID Control for Learning-Based Path Following
- Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
- Quantale-Enriched Co-Design: Toward a Framework for Quantitative Heterogeneous System Design
- Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
- Dissipation-assisted stabilization of periodic orbits via actuated exterior impacts in hybrid mechanical systems with symmetry
- Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
- Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems
- Nonlinear Moving-Horizon Estimation Using State- and Control-Dependent Models
- On the Instantaneous Phase and Frequency Estimation of a Non-Stationary Multicomponent Signal. The JADE Algorithm
- Input-to-state stabilization of linear systems under data-rate constraints
- Optimistic Online LQR via Intrinsic Rewards
- Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain
- Stable Walking for Bipedal Locomotion under Foot-Slip via Virtual Nonholonomic Constraints
- Structure-Preserving Learning of Nonholonomic Dynamics
- Time Window-Based Netload Range Cost Curves for Coordinated Transmission and Distribution Planning Under Uncertainty
- Fractional Risk Analysis of Stochastic Systems with Jumps and Memory
- Data-driven discovery and control of multistable nonlinear systems and hysteresis via structured Neural ODEs
- Time-Varying Reach-Avoid Control Certificates for Stochastic Systems
- Universal Formula Families for Safe Stabilization of Single-Input Nonlinear Systems
- Cooperative Bandit Learning in Directed Networks with Arm-Access Constraints
- Optimal Control of Switched Systems Governed by Logical Switching Dynamics
- Time-Delay Systems with Discrete and Distributed delays: Discontinuous Initial Conditions and Reachability Sets
- Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
- Data-Driven Synthesis of Robust Positively Invariant Sets from Noisy Data
- Stability-Preserving Online Adaptation of Neural Closed-loop Maps
- Multidimensional Opinion Dynamics with Confirmation Bias: A Multi-Layer Framework