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Every paper Pith has read. Search by title, abstract, or pith.
2089 papers in eess.SY · page 6
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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
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Spinning single-propeller drone reduces visibility via motion blur
Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
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PLL-free multi-PSK TX uses ring oscillator phase synthesis at 236 μW
236 {\mu}W Direct-RF PLL-Free Multi-PSK Transmitter Using Oscillator-Based Phase Synthesis
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SysML model drives hardware verification directly via server link
SHIA: A Direct SysML-Hardware Interface Architecture for Model-Centric Verification
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Topology sets when multi-agent laws can be recovered from trajectories
Multi-Agent System Identification with Nonlinear Sheaf Diffusion
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Hybrid method speeds HVDC protection component design
Hybrid Analytical--EMT Method for HVDC Protection System Component-Level Design
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Low-cost sEMG wristband passes safety and signal tests
Design of a validation methodology for a prototype wristband for capturing muscle signals and upper limb movement
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Fitted models enable stability analysis of black-box power converters
Enabling Small-Signal Stability Analysis of Black-Box Voltage Source Converters in Large-Scale Modern Power Systems
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Nominal partitions add only 2.8% cost over centralized control
Sensitivity Analysis of Performance-Based Partitioning in District Heating Networks
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Synthesize likelihoods to meet accuracy bounds with minimal prior deviation
Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis
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Passivity conditions unify fractional haptic rendering
Haptic Rendering of Fractional-Order Viscoelasticity: Passivity and Rendering Fidelity
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RL finetunes power flow warm starts for guaranteed convergence
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models
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DMI-Lib cuts LLM internal observability overhead to 0.4-6.8 percent
Enabling Performant and Flexible Model-Internal Observability for LLM Inference
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Decentralized MPC with safe sets guarantees multi-agent collision avoidance
Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
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Edge micro-agent fixes failures safely with no destructive actions
An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum
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Symbolic rules replace black-box DRL in Open RAN at 78-87% performance
Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
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Symbolic rules recover 78-87% of DRL performance in O-RAN
Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
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Curvature Lipschitz bounds tighten neural network reachability
Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
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Graph gluing raises Fiedler value to speed consensus
Effect of Graph Gluing on Consensus in Networked Multi-Agent Systems
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SL(3) observer estimates homography from image intensities
Equivariant Observer Design on SL(3) for Image Intensity-Based Homography Estimation
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PAC-Bayes bound guarantees controller performance on unknown systems
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
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Bound certifies any learned controller for unknown linear systems
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
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Safety tube keeps glucose in safe range
Glycemic Safety Tube: A Provably Safe Control Framework for Artificial Pancreas Systems under Parametric Uncertainty
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Algorithm picks nodes and gains to reconstruct full network states
Observing the state of networks with directed higher-order interactions
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RL learns priorities to control communication in agent teams
Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
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Model-free RL learns joint control and communication priorities
Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
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Youla-Kucera adds channels for cascaded MPC and offset-free control
Hierarchical 2-degree-of-freedom control combining Youla-Kucera parameterization and model predictive control
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SiPM-ASIC pair resolves single photoelectrons in 1.7 ns
High-speed single-photoelectron detection for Cherenkov astronomy
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2-bit beamforming sustains GNSS at 70 dB jamming
Low-Cost GNSS Anti-Jamming Through 2-Bit Phase Shift Beamforming with Machine Learning
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Online learning control guarantees output error bounds for nonlinear systems
Online Learning-Based Control with Guaranteed Error Bounds for a Class of Nonlinear Systems
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GP learning control guarantees output error bounds
Online Learning-Based Control with Guaranteed Error Bounds for a Class of Nonlinear Systems
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Phased algorithm achieves d sqrt(T) regret for sparse linear bandits
Learning to Sparsify Stochastic Linear Bandits
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GPU method finishes grid topology optimization in under 15 minutes
Transmission Topology Optimization using accelerated MapElites
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Control-input shakes expose stealthy sensor attacks
Lure-and-Reveal: An Exposure Framework for Stealthy Deception Attack in Multi-sensor Uncertain Systems
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RL policy hits 95 percent qualified frames over LEO links
Learning to Compress and Transmit: Adaptive Rate Control for Semantic Communications over LEO Satellite-to-Ground Links
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Passive channels let delayed grids reach optimal dispatch
Delay-Robust Secondary Frequency Control via Passive Interconnection and Randomized Block Updates
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Linear attacks cause unbounded loss in positive systems
Scalable Design of Attack-Resilient Controllers for Positive Systems