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Systems & Control
The newest papers in Systems & Control that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
703 papers, from 31 August 2026 to 5 November 2026: 644 arXiv preprints and 59 OpenAlex records.
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Newest papers, page 2
Millimeter-Wave Gaussian-to-Flat-Top Beam Shaping Using a Single-Curvature Lens: A Novel Approach
This paper presents a novel method for converting the divergent Gaussian intensity distribution of a millimeter-wave source into a uniform (flat-top) distribution using a single curved surface.A Layered View of LLM Support in Underwater Robotics
This extended abstract discusses a specific and, in our experience, practically relevant role for large language models (LLMs) in underwater robotics.Corridor-Based Monitoring and Emergency Braking Decision for Automated Vehicle Safety
This paper addresses emergency-braking decisions for a redundant safety channel in automated vehicles.Mind Control of LLMs via Closed-Loop Stimulation: Out-of-Distribution Robustness
Brains and large language models need not be considered equivalent systems to reveal an interpretable commonality: both exhibit high-dimensional, nonlinear dynamics whose behavior can only be…Cognitive and Behavioural Effects of Haptic Feedback for ROV Teleoperation in Hazardous Environments
Teleoperating a Remotely Operated Vehicle (ROV) in complex underwater environments presents unique challenges.System-Theoretic Analysis of Extended Cellular Potts Models for Tumor Invasion
The Cellular Potts Model has emerged as a standard framework for modeling multicellular systems and metastatic progression.When to Ask for Help: Uncertainty-Triggered Aerial Refinement for Off-Road Navigation
Heterogeneous air-ground teams can use aerial sensing to address the limited range and viewpoint of ground-vehicle sensors, but deciding when the UGV needs assistance and what information the UAV…ConDR: Conservative Reachability through Neural Hamilton-Jacobi Subsolutions
Hamilton-Jacobi (HJ) Reachability identifies the unsafe states of a dynamical system from which it can be forced into failure under worst-case disturbance.Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
This paper develops a stochastic dynamical-systems perspective on three classes of generative AI models.Distributed Geometric Optimization and Control of Rigid Differential-Drive Formations from Relative-Position Measurements
Distance based formation control fixes the shape of a robot team but leaves its position and orientation unconstrained.Online Hamilton-Jacobi Reachability Onboard the Robot Control Loop: A Real-Time GPU Solver for Safety-Critical Autonomy
Hamilton-Jacobi (HJ) reachability provides certified backward reachable tubes (BRTs) for safety-critical robotic systems, but the level-set computation scales exponentially in the state dimension…Grasping and Stabilizing Tumbling Objects with Rotating-Base Multi-Arm Space Manipulators
This paper presents an innovative guidance and control method for a space manipulator that actively maneuvers its base to hold a tumbling object stationary relative to the base during proximity…Computing Invariant Reachable Sets through Sum-of-Squares Programming
Funnels, time-varying invariant sets around nominal trajectories, certify that a closed-loop system tracks its plan, and can be composed into verified motion plans.Large Language Models for Forecasting of Electricity Price Spikes
Can market notices read by a large language model (LLM) improve short-horizon electricity price spike forecasts?A research world model of power engineering learns its dynamics and reveals what-ifs
Decisions about the direction of research in power engineering determine which technologies mature and, through them, shape infrastructure that lasts decades, yet their consequences cannot be…Mass Scaling Laws for Energy-Optimal Horizontal Multirotor Flight
Multicopters are a type of aerial robot seeing extensive real-world applications but with range and endurance as critical bottlenecks.Training Specialist LLMs on Your Phone: Forward-Only Optimization via Block-Spectral Coordinates
Large language models (LLMs) on personal devices keep user data local, but limited memory restricts their general capability.Caging Vision-Language Navigation for Legged Robots via Barrier-Certified Safety Architecture
By harnessing the inherent commonsense capabilities of pretrained Large Language Models (LLMs) and Vision-Language Models (VLMs), current Vision-Language Action(VLA) models for legged robots excel…On Revolutionizing Power Systems: Suitability of Quantum Computing-Ready Pipelines for Stochastic Unit Commitment Optimization
Modern unit commitment (UC) scenarios, particularly those involving uncertainties from demand fluctuations and renewable energy sources, pose significant challenges to traditional optimization…Comparing model representations and fitting methods for port-Hamiltonian system identification
Port-Hamiltonian models describe physical systems by separating stored energy, dissipation and external inputs.