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Every paper Pith has read. Search by title, abstract, or pith.
1111 papers in eess.SY · page 1
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Reachable sets turn HVAC coupling into real-time flexibility intervals
Reachable-Set Decomposition for Real-Time Aggregation of Multi-Zone HVAC Fleets
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Guidance sets safe speed for loiter UAV corridor reinsertion
Loiter UAV Reinsertion Guidance for Fixed-wing UAV Corridors
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CARS attributes AV collisions to driver faults
Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles
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TinySDP runs real-time SDP on microcontrollers for robot control
TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics
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Sliding-mode law hits targets on exact schedule inside acceleration limits
Bounded-Input True Proportional Navigation for Impact-Time Control
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The paper develops a decentralized frequency-domain method to certify D-stability…
Decentralized Frequency-Domain Conditions for D-Stability with Application to DC Microgrids
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Learned KKL observers match optimal estimates locally
Learning a Contracting KKL-observer with Local Optimal Guarantees
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Pseudo-measurement shape distorts DSSE uncertainty bounds
Sensitivity Quantification for Distribution System State Estimation
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UC model with voltage bounds cuts costs at high IBG
Impedance-Based VSC Unit Commitment with STATCOM Support under High IBG Penetration
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Biological neurons outperform AI agents in simulated navigation
Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
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Safety bounds now cover linear co-regionalization models
Safe Bayesian Optimization for Uncertain Correlations Matrices in Linear Models of Co-Regionalization
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Submodular rewards give 1/2-approx for online multi-agent task allocation
Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems
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Gaussian process cuts MPC computation time by factor of five
Real-time Gaussian Process based Approximate Model Predictive Trajectory Tracking Control for Autonomous Vehicles
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The paper proposes a subspace pruning method based on principal vectors to improve how…
Subspace Pruning via Principal Vectors for Accurate Koopman-Based Approximations
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Secure synthesis shields multi-agent LTL tasks from intruder inference
Security-Aware Planning and Control of Multi-Agent Systems with LTL Tasks
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D-optimal irregular sampling boosts FRF estimate accuracy
D-Optimized Sampling Design for System Identification
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Pareto optima lie inside feedback guaranteed-cost class
Guaranteed cost structured control in infinite-horizon linear-quadratic cooperative differential games
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NMP zeros unify voltage and sync stability analysis in weak grids
Revisiting Voltage and Synchronization Stability Analysis in Converter-Integrated Weak Grids: Insights from Non-Minimum-Phase Zeros
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Dual IMUs enable global exponential relative pose and velocity estimates
Relative Pose-Velocity Estimation Using Dual IMU Measurements and Relative Position Sensing
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Semantic images calibrate robot dynamics uncertainty with guarantees
Local Conformal Calibration of Dynamics Uncertainty from Semantic Images
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Small offline module speeds diffusion inpainting
Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
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Safety certification reduces to one-dimensional switching-time search
Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach
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Dissipation potentials enable PDE-free tracking in port-Hamiltonian systems
Port-Hamiltonian Systems with Dissipation Potential: Modelling and Trajectory Tracking Control
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Minimal EMPs optimize accuracy in tree networks
Optimal excitation and measurement patterns for networks with tree topology
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Dynamic pricing stabilizes mempool volume at target capacity
Dynamic Transaction Scheduling and Pricing in the Ethereum Mempool
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Port-Hamiltonian nets recover string Hamiltonian from data
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
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Decentralized UAV control suppresses wildfires persistently
Safe and Energy-Aware Decentralized PDE-Constrained Optimization-Based Control of Multi-UAVs for Persistent Wildfire Suppression
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Adaptive smoothing unlocks non-convex Pareto policies in robotics
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
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Natural language runs grid analyses in under two minutes
Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics
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Turnpike property stabilizes receding horizon games without terminals
Towards Closed-loop Stability of Nonlinear Receding Horizon Games
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Docker container makes Basilisk GN&C simulations reproducible
Basilisk and Docker for Reproducible GN&C Simulation: A Workflow Reference
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Algebra of modulating functions yields orthonormal bases for estimation
Estimation Problems and the Modulating Function Method: The Algebra of Modulating Functions
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Algebra of modulating functions yields orthonormal estimators
Estimation Problems and the Modulating Function Method: The Algebra of Modulating Functions
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Neural fusion cuts wheel-speed errors by 85% at low speeds
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation
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Direct parameterization learns rational LPV-LFR models from data
Efficient Learning of Affine and Rational Dependency LPV Models With Linear Fractional Representation
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Structured analysis locates oblique turbulent band wavelength
Structured input-output analysis of oblique turbulent bands in Waleffe flow
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Optimal driving halves variance for impulse estimation in quantum systems
Optimal State Preparation for Impulse Estimation in Gaussian Quantum Systems
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QOED focuses robot exploration on identifiable parameters
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
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INDI yields lower position errors than geometric NDI on hexarotors
Control of Fully Actuated Aerial Vehicles: A Comparison of Model-based and Sensor-based Dynamic Inversion
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Tool synthesizes reactive systems over infinite integers
sweap: Reactive Synthesis for Infinite-State Integer Problems
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Robot blocks unsafe merges at blind intersections
Cooperative Robotics Reinforced by Collective Perception for Traffic Moderation
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Hybrid estimator tracks SRF cavity detuning with uncertainty warnings
KIND: A Kalman-Inspired Adaptive Estimator for SRF Cavity Detuning
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Lane bias in graph model cuts merge prediction error to 0.865 m at 1 s
Lane-Aware Graph Attention Network for Multi-Vehicle Trajectory Prediction in Expressway Merge Zones
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Lane bias cuts merge-zone prediction error after drone fine-tuning
Lane-Aware Graph Attention Network for Multi-Vehicle Trajectory Prediction in Expressway Merge Zones
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Fixed-time observer and nested controller regulate flexible arm tip
Observer-Based Fixed-Time Nested Sliding-Mode Control for Tip-Position Regulation of a Single-Link Flexible Manipulator
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80% of AI agent skills deviate from declared behavior
Behavioral Integrity Verification for AI Agent Skills
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GraphFlash hits 127x speedup in serverless graph processing
GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure
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LLM hierarchy boosts UAV efficiency by 14% and throughput by 25%
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
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Interval networks output calibrated uncertainty bounds for dynamical models
Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
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Secure two-party protocol stabilizes pendulum on cloud
Experimental Examination of Secure Two-Party Controller Computation