Engineering & Signals · Interdisciplinary & Society
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.
Get the few papers worth your time in Systems & Control every morning.
Follow Systems & Control and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 32
Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation
EdgeAI systems are increasingly employing computer vision applications to enable intelligent, on-device decision-making in real-time.Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
The development of generative artificial intelligence resources enables opportunities of speeding up systems and engineering design work.Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?
AI agents are increasingly involved in network automation, where they can initiate configuration changes through mediated operational interfaces and assess the resulting state.IMU-Centric Moving Horizon Estimation for Lateral Dynamics Estimation Across Vehicles and Grip Conditions
Accurate estimation of lateral vehicle dynamics near the adhesion limit is important for stability control and high-performance driving, but lateral velocity is rarely measured directly because…Adaptive Shared Control with Online Bounded-Rational Human Behavior Estimation
This work considers adaptive shared human-robot control for nonlinear control-affine systems, where the assumption of a fully rational human is relaxed and the robot adapts its assistance to…CougarTail & CUB: A General-Purpose Mast and Central Utility Board for Cylindrical Underwater Enclosures
Cylindrical watertight enclosures are widely used across various underwater systems, from unmanned underwater vehicles (UUVs), to remotely operated vehicles (ROVs), to various sensor platforms.Frame-Coded Legged Locomotion over Noisy Terrain
Open-loop multilegged locomotion over rough terrain has been interpreted as matter transport over a noisy channel: leg-ground interactions are discrete basic active contacts, terrain deletes or…Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
More Electric Aircraft require fast and reliable monitoring of high-frequency electrical networks, yet most power quality disturbance and fault diagnosis methods are developed for conventional 50 or…Entropic Risk-Sensitive Evolutionary Learning and Equilibrium Selection in Coordination Games
We study risk-sensitive evolutionary learning dynamics and their long-run equilibrium selection behaviors in coordination games.Time-Varying Data as Sheaves: an Invitation to Narratives
Modern science and engineering increasingly rely on time-varying data, yet the mathematical tools used to model temporal phenomena are often developed within separate disciplines, obscuring common…Online, Reachability-Aware, Sampling-Based Motion Planning
Sampling-Based Model-Predictive Control (MPC) algorithms are a flexible class of controllers used for navigation on a wide range of robotic systems.No Free Checker: A Survey of Verifiers for Robot Policies
A verifier for robot policies reads a candidate behavior and returns a score for how well it did, used both to evaluate vision-language-action policies and to train them.AccelMPC: High-Rate, Low-Power FPGA-Accelerated Model Predictive Control for Tiny Drones
Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control.Networked Admissibility-Preserving Control for Directed Safe Coordination
This paper addresses safety-critical coordination for scalar agents whose distributed commands are implemented through constrained physical-input dynamics.A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects
In the past decade, Bayesian optimization (BO) has emerged as a powerful and adaptable framework for automatic controller tuning and robot learning.Fast Constraint Extraction for Corrective Control under STL Specifications via Logical Dependency Tracking
Ensuring the satisfaction of Signal Temporal Logic (STL) specifications under uncertainty is challenging, as reachability-based monitoring provides guarantees but does not indicate how to restore…Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning
Existing physical-layer authentication (PLA) schemes for non-terrestrial networks (NTNs) often rely on single-anchor verification, lack joint authentication-transmission design, and ignore tag…Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning
Physical-layer authentication (PLA) in non-terrestrial networks (NTNs) is challenged by severe Doppler shifts, long delays, and fast channel variations, which cause distribution shifts and degrade…A Discontinuous Galerkin Method for the Intrinsic Beam Model with Kelvin-Voigt Damping
We present an energy-stable discontinuous Galerkin (DG) spatial discretization of the intrinsic beam equations with Kelvin-Voigt damping.Phase oscillator networks with multiple and state-dependent delays: A framework for exploring white matter plasticity in neurodynamics
Network science is increasingly focused on how node dynamics influence emergent phenomena such as oscillations, waves, chimeras, and turbulence.