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input-to-state stability

10 papers

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linear time-varying system (2) semidefinite programming (2) linear dynamical system (1) networked system (1) lstm neural network (1) probabilistic safety verification (1) scenario algorithm (1) controller design (1) covariance constraint (1) soft constraint (1)

Papers

Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems L4DC 2026 Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NeurIPS 2024 Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees L4DC 2024 Compositional Neural Certificates for Networked Dynamical Systems L4DC 2023 Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions L4DC 2022 Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits L4DC 2022 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NeurIPS 2021 Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021 Stable Online Control of Linear Time-Varying Systems L4DC 2021 LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification L4DC 2020