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.
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Newest papers, page 25
Vision-based Underwater Formation Control With Input Saturations via Barrier Lyapunov Functions
In this work, we propose a communication-free framework for vision-based formation control of fully actuated underwater robots subject to sensing constraints, collision-avoidance requirements, and…MATES: Learning Multi-Agent Interactions by Transforming Observations for Frozen Single-Agent Policies
Multi-agent reinforcement learning (MARL) commonly trains decentralized policies from scratch, requiring agents to acquire individual task competence and coordination simultaneously.Manipulation of Deformable Linear Objects Using Model Predictive Path Integral Control with Bidirectional Long Short-Term Memory Learning
The manipulation of Deformable Linear Objects (DLOs) such as cables poses a significant challenge for automation due to their infinite degrees of freedom and non-linear dynamics.Shaft-Configuration-Adaptive Catheter Tip Position Estimation via Motor-History Conditioned Residual Learning
Tendon-driven continuum manipulators are widely used in medical applications, where accurate tip-position estimation is essential for precise navigation and instrument positioning.The Source of Disturbance Matters: External, Internal, and Control-Generated Noise in Adaptive Regulation
Adaptive regulation can itself perturb the state it is intended to stabilize.Wheel-loader V-Cycle Automation with Deep Koopman MPC
The repeated forward-reverse maneuvers performed by wheel loaders during earthmoving operations make them well suited for automation.A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing
We study decentralized partially observable team decision problems with low-rank latent dynamics and unknown system models.Impact-Time Guidance via Normal Contraction to a Time-to-Go Isochron
We develop a contraction-based perspective on impact-time guidance that augments a baseline homing command with a timing bias.Spiderbot: An Open-Source Energy-Efficient Hexapod with Passive Gravity Compensation
Hexapod robots can achieve static stability with fewer actuated joints than bipeds or quadrupeds, yet many platforms still use 3-DOF legs, increasing weight and continuous torque requirement with…Fast Direction-Conditioned Reachability for Motion Prediction Under Model Uncertainty
To avoid collisions, a robot must repeatedly predict where nearby agents may move, usually with an imperfect model of their dynamics.Automated feature-region selection for soft-sensor development from spectral-like measurements
Sustainable production increasingly relies on process analytical chemistry and process analytical technology to support monitoring, control, and automation.The Operational Value of Spatial Dependence in Renewable Forecast Scenarios for Single-Period Economic Dispatch: A Controlled Ablation Study
Renewable forecasts are evaluated by statistical skill (e.g., CRPS), but grid operators pay for realized dispatch cost.vla.simd: Efficient CPU Inference for Language-Conditioned Manipulation
Deploying language-conditioned manipulation without a dedicated GPU requires efficient inference and action chunks that cover the delay between policy queries.Multi-Agent Transportation of Free-Flyers in Microgravity Via Pushing Interaction Under Human-in-the-Loop Control
We propose a safety-critical framework for the cooperative transportation of passive targets in microgravity, where a team of chaser robots acts through unilateral pushing contacts to track a…FoldQuantVLA: Native Low-Bit Quantization of Vision-Language-Action Models via Consistent Folding
Low-bit vision-language-action inference must reduce observation-to-action latency while preserving robot behavior.Offline Reinforcement Learning for Distribution-Grid Protection
Data-driven protection may complement conventional relays in distribution grids whose operating conditions vary with distributed generation, switching events, and changing short-circuit levels.Indirect tipping: a social attack surface in AI agent populations
As generative AI agents are deployed at scale, safety will depend not only on technical safeguards and individual model design, but also on collective equilibria that determine how agent populations…Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control
Safety evaluation in sampling-based stochastic model predictive control often requires numerical estimation of exit functionals.Data center cooling choices shift water impacts across the grid: An integrated water-energy model for sustainable data center development
Data centers are being developed at an unprecedented pace, yet their energy and water impacts, and the spatial and temporal distribution of these impacts, remain poorly characterized.A bioinspired internal model-based online estimator for planar pursuit
Bioinspired feedback controls for pursuit, tracking, and collective motion are often expressed in terms of the relative configuration between interacting agents.