Автоматика и системы автоматического управления, техническая кибернетика, интеллектуальная техника и оборудование автоматических систем управления производством.


254 публикаций

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OmniDroneX: An LLM-Assisted Holistic Drone-as-a-Service Ecosystem
Data-Driven Control from Poisoned Data: Fundamental Limitations and Secure DeePC
Sparse add-on controller design: A Youla approach to system-level performance
PowerAgentBench-Dyn: A Benchmark for Agentic AI in Power System Dynamic Studies
Exponential Weighting Model Predictive Control with Observer for Modular Multilevel Converters
Closed-loop Optimal Fault Detection for Uncertain Systems
Enhancing Secret Key Generation for UAV Communications via Codeword Reconstruction
Agent Utilities over Generalized Voronoi Regions and their Gradients
Perron--Frobenius Operator Matching for Generative Modeling
ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors
Data-Driven Stabilizing Controller Design for Linear Infinite Networks
Seeing Through Occlusion: Deterministic Arm Kinematic Correction for Robot Teleoperation
A Mixed-Reality Testbed for Autonomous Vehicles
Integrated physics-based modeling reveals a thermodynamic gap in small modular reactor load following
A Lyapunov-Based Perspective on Absolute Stability
Learning-Based Decision Making for Combustion Phasing Control in Multi-Fuel CI Engines with Latent Fuel Reactivity Estimation
Deep Learning-Driven Inverse Design of Doherty Power Amplifiers Using Pixelated Combiners and Dual-State Impedance Synthesis
Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements
Constellation-Level Power Allocation for LEO Space-Based Solar Power
Robust Direct Data-Driven Hamiltonian for Safe Set Computation under Measurement Noise and Disturbances
Line Outage Impact Factor (LOIF): A New Sensitivity Factor for Enhanced Transmission Observability
Classifying Transient Regimes in Dynamic Systems through Properties of Spatial Curves and Stochastic Processes: A Data-Driven Approach
Performance-Driven Environment Abstraction with Multi-Timescale Learning
An Optimal Power Management Policy for Hydrogen-based Hybrid Aero Engines
Fast Convergence and Robustness for Two-Layered Forgetting Recursive Least Square under Finite Excitation
Artificial Intelligence for Power-Converter-Rich Electrical Systems: A Review
Robust Koopman MPC with Sets Updates for Time Delayed Systems
Can Optimal Dispatch Models Recreate Reality? A Retrospective Analysis of Europe's 2022 Energy Crisis Using PyPSA-Eur
On the Lyapunov equation with the state matrix in companion form
Task-Error Residual Learning for Real-Robot Five-Ball Juggling
Sandbox-Enabled Digital Twin for Cyber-Physical Systems
Data-Driven Personalization of Automated Insulin Delivery
A Bilateral Teleoperation Framework for Dexterous Manipulation
On Type Deception in Linear-Quadratic Differential Games
LLM4RTL: Tool-Assisted LLM for RTL Generation
Positive-Real Identification of Sparse Mori-Hamiltonians from Partial Observations
An Analytical Methodology for Quantifying Airspace Conflict Rate and Complexity
Geospatial sensitivity of transmission-constrained ACOPF to generator retirement
Data-driven Control with Real-time Uncertainty Compensation for Multi-Fuel Engines
Geometry-Driven Islanding Detection and Fault Classification for Grid-Forming Inverters: A Normally Hyperbolic Invariant Manifold Framework with Physics-Derived Thresholds
An Adjoint-based Neural Regulator for Real-Time Optimal Control with State Constraints
A Generalized Plant Perspective on Linear-Convex Feedback Optimization
Optimization Models and Steady-State Minimum-Fuel Operating Strategies for Hydrogen-based Hybrid Electric Aerospace Propulsion Systems
Provably Safe, Yet Scalable Reinforcement Learning
A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems
Friction Characterization of a Cable-Driven Differential Actuation System for Lower-Limb Exoskeletons
SparseCol: A 1320 BTOPS/W Precision-scalable NPU Exploiting Training-free Structured Bit-level Sparsity and Dynamic Dataflow
A Smart-Scheduled Hybrid (SSH) EKF-FGO State Estimation
Anisotropic Template Ansätze for Robust Positive Invariance under State-Dependent Uncertainty
Proportional power dispatch and fairness in wind farm power tracking
Characterization and Computation of Feedback Nash Equilibria in Scalar Discounted N-Player Linear Quadratic Games
Mitigating business risks from renewable PPA power sourcing uncertainties for European green hydrogen production: Robust system design, regulatory adjustments and offtake flexibility
Learning Dynamic Swing-Up of an Inverted Pendulum using Remote Magnetic Actuation
Pseudonym Scheme Based on Hybrid Certificates for Security Credential Management System in Vehicular Communications
Same-Origin Policy for Agentic Browsers
Battery Bidding under Price Uncertainty in Wholesale Electricity Markets
The GIST 2064-Bus Test System: A Public-Data Synthetic Model of the Korean Power Grid
Pushing the Frontiers for Floating Solar Photovoltaics -- The Case for South America
Cooperative Switched Formation Control of Autonomous Vehicles: An Event-triggered Approach to Input Saturation and Time-delay Challenges
Robust Zonotopic Control
Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Differential Geometric Conditions for Koopman Linearizability of Control-Affine Systems
MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Aerial Wildfire Suppression Planning with a Hybrid CNN-Cellular Automata Fire Model
АВТОМАТИКА И ТЕЛЕМЕХАНИ В ЭНЕРГЕТИКЕ
ОТКЛЮЧЕНИЕ ГЕНЕРАТОРОВ КАК КЛЮЧЕВОЙ ПРИМЕР УПРАВЛЯЮЩЕГО ВОЗДЕЙСТВИЯ ПРОТИВОАВАРИЙНОЙ АВТОМАТИКИ
ИННОВАЦИИ В ОБЛАСТИ РЕЛЕЙНОЙ ЗАЩИТЫ И АВТОМАТИКИ
Shared Renewable Allocation and Hydrogen Flexibility in Local Energy Markets: A Market Design Perspective
Delayed Functional Observers for Output-Delayed Linear Systems
Leveraging Optimal Information-Power Flow for Transmission Switching in AC/MTDC Grids
Tracking the Effective Surface Area of Non-Convex Satellites
LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies
Transient Stability of Offshore Energy Hubs
Embedding Hybrid Systems into Continuous Latent Vector Fields
Toward Proactive RF Charging Scheduling: Generative AI for Decision Support
Traceable Virtual Sea Trials in the Marine Robotics Unity Simulator for Manoeuvring Assessment of Unmanned Surface Vehicles
Probabilistic Repair Logistics Modeling for Utility-Scale PV Inverter Fleets Using Event-Driven Simulation
From Symmetry to Stability: Quantifying Converter Grid Impedance Asymmetry as Indicator of Stability Margin
Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems
OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments
A Companion App for an Autonomous Family Vehicle: Identification of Values for an Autonomous Mobility System
Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees
LLM-Mediated Demand Response Coordination in Smart Microgrids
Impedance MPC for Physical Human-Robot Interaction: Predictive Disturbance Rejection with Joint-Limit Safety
Benchmarking Sequential Feedback Optimization for Wind Farm Power Maximization
Predictive Coding with Bayesian Priors via Proximal Gradients
A Switching Beamformer for Highly Non-Stationary Environments
Submodular Optimization with Applications to Decision and Control
Game-Theoretic Area Coverage Control with Cooperative-Adversarial Multi-Agent Systems
Fundamentals of NOMA in Low-Earth Orbit Coordinated Multi-Satellite Networks
On Time-Delay Compensators for Delayed-Output Systems
LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization
Seamless Contraction-Control Framework for Unplanned Grid-Connected/Stand-Alone Transitions of Grid-Forming Inverters
Modeling of Spinning Plates: Geometric Stiffening and Modal Approximation for GNC Applications
Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension
Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility Efficiency
Forecast and Model Predictive Control of Distributed Energy Resource Aggregators for Net-Demand Balancing
Power Grid Topology Control
Guaranteed Fast Implementation of the Split Covariance Intersection Filter: Nested Newton Method Thanks to the Fourth-Order Convexity of w-Optimization
A Continuification Approach to CAV Control in Mixed Traffic via Variable Speed Limits
Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals
Motion planning for hundreds of floating robots
Voltage Unbalance-Aware AC Optimal Power Flow in Distribution Networks
From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control
AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation
Adaptive arrival cost update for improving Moving Horizon Estimation performance
State Observers for Linear Systems with Prescribed Residual Bounds
Policy Gradient for Continuous-Time Robust Markov Decision Processes
ВЫРАВНИВАНИЕ ТЕМПЕРАТУРНЫХ ПОЛЕЙ В ШКАФАХ АВТОМАТИКИ И РЕЛЕЙНОЙ ЗАЩИТЫ
ВНЕДРЕНИЕ СИСТЕМ АВТОМАТИКИ НА ТРАНСПОРТЕ
АВТОМАТИКА В СЕЛЬСКОМ ХОЗЯЙСТВЕ: СОВРЕМЕННЫЕ ТЕХНОЛОГИИ И ИХ ПРИМЕНЕНИЕ
АВТОМАТИКА В ЭНЕРГЕТИКЕ: СОВРЕМЕННЫЕ ТЕХНОЛОГИИ И ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ
Attack Detection using Time Series Foundation Models
Impact of RTK Augmentation and INS Integration on GNSS Positioning Accuracy and Continuity: A Benchmarking Study on Inland Waterways
Expected String Stability of Human-Led Vehicle Platoons under Stochastic Communication Delays (Full Version)
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss
Navigating the unknown in large-scale operational transformation programs: The "Sirius Days" framework as a 'pilot-organization' for characterizing emerging issues
Surrogate Modeling of Interconnector Flows: A Machine Learning Alternative to Full-Scale Power System Simulations with Application to Cross-Border Electricity Exchange
Secrecy Sum Rate Maximization for OIRS-Aided Visible Light Communications with Confidential Messages
Enhancing Collective Self-Consumption through Water Storage Heater Flexibility
Characterization and Analysis of Emergency Landing Flight Envelopes with Graded Safety Specifications
Zero knowledge verification for frontier AI training is possible
CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering
CAPE: Control Algorithm Performance Evaluation under Learned Vehicle Dynamics Models
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction
МЕТОДЫ И СРЕДСТВА УПРАВЛЕНИЯ В АВТОМАТИКЕ И ТЕХНИЧЕСКИХ СИСТЕМАХ
НЕСИНУСОИДАЛЬНЫЙ СИГНАЛ В ЦЕПЯХ ЖЕЛЕЗНОДОРОЖНОЙ АВТОМАТИКИ
ТЕХНОЛОГИЯ ИМИТАЦИОННОГО МОДЕЛИРОВАНИЯ СИСТЕМ ЖЕЛЕЗНОДОРОЖНОЙ АВТОМАТИКИ И ТЕЛЕМЕХАНИКИ
Impedance Modeling and Stability Analysis of Droop-Controlled Inverter Under Unbalanced Power Grid Operating Conditions
Learning Local Optimal Controller for a Class of Nonlinear Systems via Impulse-Supervised Exploration
Dynamics of the Thermomagnetic Pendulum
Equivalent Circuit Model based Electric Vehicle Evacuation with Mobile Charging Stations
Data-Driven Min-Max MPC with Integral Quadratic Constraints
Efficient Numerical Modeling of Near-Field Diffraction in ORIS-Assisted Free-Space Optical Links
Regulating EV Charging Markets for Fairness: Incentives for Pricing and Capacity Decisions
APX-Hardness of Computing Lipschitz Constants for Multi-Parametric Quadratic Programs
NeuroSymbolic Robustness Analysis for Discrete Systems with Respect to Transition Deviations
A Dynamic Capacity Allocation Model for DERs under Non-Firm Connection Agreements
Multi-Robot Bearing-only Pose Estimation via Angle Rigidity
Verifying global identifiability of parametric linear ODE models is NP-hard
Adaptive PD Gains for Energy-Conscious Control in Physical Human-Robot Interaction
Stochastic Analysis of Cybersecurity Defense Strategies Under Single Attack Scenario
Traffic Characterization of Event-Triggered Control Systems: A Geometric-Algebraic Perspective
DeepIPCv3: Event-Aware Multi-Modal Sensor Fusion for Sudden Pedestrian Crossing Avoidance
Toward Reliable Semantic Communication: Beyond Average Performance
All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning
A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees
Trajectory Planning for Non-Communicating Mobile Robots using Inverse Optimal Control
Safe Arrival Scheduling at Constraint Waypoints in UAM Corridors
Steering Fractional-Order Network Dynamics via Joint Parameter and State Control
Posterior and Likelihood Sensitivity in Bayesian Distributionally Robust Optimization
Certified Closed-Loop Control for Packet Networks: A Compositional Certification Framework
A Game-Theoretic Decision Framework for Optimal Selection of Coordination Detection Methods in Multi-UAV Fleet Operations
A No-Regret Framework for Adaptive Incentive Design
Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics
Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data
Generalized Model Predictive Path Integral Control as Expectation--Maximization
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
Behavior Cloning of MPC for 3-DOF Robotic Manipulators
In-Orbit Intelligence or Ground Offloading? Inference Freshness under Intermittent Satellite Connectivity
En-route Charging Coordination for Electric Trucks
Subsystem Structure as an Inferential Resource for Coupled Engineered Systems
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
Identifiability of Low Frequency Li-ion Battery Parameters in Time Domain
Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations
Model-Free Control approach for pH Regulation in Thin-Layer Photobioreactors
Sensor-Based Turbidostat Operation Enables Biomass Setpoint Regulation and Productivity Improvement in semi-industrial Microalgae Raceway Pond
Personalized Federated Learning by Energy-Efficient UAV Communications
Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning
Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
Learning Safe-by-Design Neural Network Controllers
SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
Integrated Exploration-Aware UAV Route Optimization and Path Planning
On the Solvability of Quasi-Regulator Equations in Non-smooth Output Regulation
Disjunctive Sum of Squares
Container Unloading via Reinforcement Learning: Picking Order, Deadlock Avoidance, and Proof-of-Concept Simulation
Riding the Shifting Potential: When Reactive Control Suffices for Multi-Goal Behavior
Natural Language Query to Configuration for Retrieval Agents
Deterministic and Nonblocking Supervisory Control of Discrete Event Systems under Cyber Attacks
Optimal Dispatch of Connected and Autonomous Electric Vehicles to Enhance Short-Term Grid Flexibility in Smart Cities
CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control
Robust Tracking of Curvature-Constrained Paths for Uncertain Dubins Systems
Learning regime-dependent governing equations: A symbolic decision tree approach
Contested Temporalities in Critical Minerals and Resource Extraction for Electric Vehicles
Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems
Explicit Ensemble Mean Synchronization for Time Scale Generation with Mixed Atomic Clock Ensembles
Communication-Constrained Energy-Optimal Trajectory Generation for Quadrotor UAVs in Urban Environments
Dynamic Power Management Methodology for Distributed Vertical Power Delivery in High-Performance Computing Systems
Solar phased arrays-based wireless power transfer for commercial airlines can reduce energy costs and carbon emissions in the United States
Power-Integrity Modeling of VR Faults in High-Performance Applications
From Visual to Digital: Coordination Scheduling and Its Effect on Safety and Efficiency in UAM Corridors
Physics-informed sparse identification-based tube model predictive control for aerial vehicles
A Distributed Framework for Data-Driven Safe Coordination in Leader-Follower Networks
OptiQU: Coordinated Multi-Level Voltage and Reactive Power Control for Enhanced Voltage Quality and Secure Grid Operation
Open-Source METANET Calibration for Reproducible Freeway Traffic Macroscopic Simulation
Deception and Counter Deception in Adversarial Graph Traversal Game
Convex Hybrid Modeling: An Operator-Based Approach
Experimental Evaluation of Data Upload Efficiency and Guiding Challenges for a Vehicular-to-Road System Using 60-GHz mmWave Ultra-Spots
System Level Analysis and Management of Orbital Debris Using Empirical Dynamic Modeling
Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review
Bearing-Only Solution to the Fermat-Weber Location Problem for Unicycle Agent
Routing Equilibrium in Mixed-Autonomy Traffic Networks with Altruistic Autonomous Agents
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
Continuous Aggregative LQG Games with Delayed Discrete Observations
Multi-Criteria Integer Programming Model for Route Planning in an Off-Road Combat Environment
Detecting and Mitigating Backdoor Attacks in OTA-FL Systems: A Two-Stage Robust Aggregation Scheme
ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract)
TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis
Dynamic Lane Allocation in UAM Corridors for Efficient Multimodal Door-to-Door Mobility
Resilient Energy-Based Control for DC Data Centers under Grid and Load Disturbances
DAE-Embedded Neural Control Verification for Shipboard Microgrids under Transient Shocks
Motion Design for Grasp-Based Dynamic Locomotion in Microgravity
Disturbance Rejection Control under Nested Signal Temporal Logic Specifications: A Recursive Design Approach
Max-Entropy Moment Filtering for Stochastic Hybrid Systems
A Bounded-Confidence Model of Opinion Dynamics with Adaptive Interaction Probabilities
Quadratic Characterizations for Reachability Analysis of Neural Networks
A New Approach for ARMA Pole Estimation Using Higher-Order Crossings
Attention-Guided Fusion of 1D and 2D CNNs for Robust ECG-Based Biometric Recognition
Architecture Dependent Temporal Observability Under Deployment Interference in Edge Inference Systems
Observer-Based Stabilization for Linear Multi-Agent Dynamical Systems Using Generalized Frequency Variables
HJ-Gauss: A Monte-Carlo HJ Reachability Scheme
Comparing Contract-Based Support Mechanisms for Long-Duration Energy Storage
A Benchmark on LLM-Based Power Flow Computation: Do More Structured Prompts Help?
On Generalized Performance Evaluation and Generalized Controller Synthesis
Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids
Robust Soft-Constrained Spatially Selective Active Noise Control for Hearables Under Secondary Path Variations
Distributed Synchronisation of Heterogeneous Dynamical Networks With Nonlinear Diffusive Couplings
Over-approximation of weakly-hard constraints for control systems verification (Extended)
Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management
Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium
Ensuring reliability in 100% renewable microgrids: a scenario-based joint planning and operational design framework
Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP
Preemption Revisited: Multi-Threshold Preemption Policies for AoI Minimization
A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation
FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast
JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration
Battery-Assisted Operation of Hyperscale AI Data Centers under Connect-and-Manage Interconnection Practices
Grid Integration of Gigawatt-Scale AI Data Centers under Connect-and-Manage
An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems
Dynamic Event-Triggered Control of Discrete-Time Nonlinear Systems based on Difference-Algebraic Representations
Flexibility-Aware Framework for Efficient Planner-Initiated Siting of Data Center
Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
Hybrid Metaheuristic Optimization of Distributed Control System Hardware Architecture with Model-Based Verification
Distributionally Robust Nash Equilibrium Seeking with Partial Observations and Distributed Communication
Stochastic Mirror Descent under Iterate-Dependent Markov Noise: Analysis in the Asymptotic and Finite Time Regimes
Direct Data-Driven Linear Quadratic Tracking via Policy Optimization
PreFT: Prefill-only finetuning for efficient inference
On the (non-)resilience of encrypted controllers to covert attacks
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Energy Management for Solar-Powered Electric-Bus Charging Station: A Data-Driven Method