🏛️ The Systems & Control (EE) Crypt
eess.SY: Where Systems & Control (EE) papers rest without their code.
2102
Total Papers
1856
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241
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Safe Autonomous Docking Maneuvers for a Floating Platform based on Input Sharing Control Barrier Functions
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Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications
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Modular Design of Strict Control Lyapunov Functions for Global Stabilization of the Unicycle in Polar Coordinates
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Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous
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Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic Constraints
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Cooptimizing Safety and Performance with a Control-Constrained Formulation
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Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems
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Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
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Automatic Parameter Tuning of Self-Driving Vehicles
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FITS: Ensuring Safe and Effective Touchscreen Use in Moving Vehicles
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BOXR: Body and head motion Optimization framework for eXtended Reality
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Controllability and Observability of Temporal Hypergraphs
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Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
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Robustness Enhancement for Multi-Quadrotor Centralized Transportation System via Online Tuning and Learning
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CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor
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Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
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A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information
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EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency
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On the coordination efficiency of strategic multi-agent robotic teams
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Robust one-shot estimation over shared networks in the presence of denial-of-service attacks
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Learning the Gap in the Day-Ahead and Real-Time Locational Marginal Prices in the Electricity Market
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Thompson sampling for linear quadratic mean-field teams
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