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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 16
Noise-Induced Navigation in Non-convex Domains and Compact Manifolds
In this note, we study the problem of designing a feedback law that globally steers a system to a prescribed target configuration.Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models
Robotic systems often exhibit unstable modes, along which small perturbations and disturbances can cause unbounded growth unless corrected through feedback.Nine Trials to Recover: A Reproducible Benchmark for Repertoire-Free Soft-Robot Damage Adaptation
We present a repertoire-free benchmark for soft-robot damage recovery under nine online trials.Belief-Informed Hybrid Control with Almost-Sure Target-Set Convergence
Controlling a hybrid system to a target set under parameter uncertainty can require informative actions that temporarily drive the system state away from the specified set.Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
The scenario approach is a well-established statistical framework for data-driven decision-making.Energy-Aware Path Following: Comparative Analysis of Reinforcement Learning and NMPC for Electric Vehicles
Path-following control strategies typically follow the bi-objective optimization dilemma: minimizing deviations from a reference path while maintaining smooth speed profiles.Context-Conditioned Hamilton-Jacobi Reachability for Adaptive Safety Filtering
Hamilton-Jacobi reachability constructs safety certificates for specified dynamics and safety constraints, tying each certificate to the deployment context for which it is synthesized.Attenuated in-context identification in time-series foundation models: diagnosis under counterfactual inputs and repair by synthetic forced-system fine-tuning
Covariate-aware time-series foundation models (TSFMs) promise training-free what-if answers for instrumented plants: the change in output that a different future input would cause.Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving
End-to-end planners based on waypoint regression achieve strong open-loop accuracy, but they primarily learn to mimic expert geometry and remain difficult to adapt to deployment-time safety…Nested Power Models for Multirotor Propulsion: From Aerodynamic Drag to Electrical Losses
Speed-only aerodynamic power models for multirotor propulsion cannot represent acceleration-dependent effects.DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching
Pervasive intelligent applications are increasingly deployed on mobile and Internet of Things (IoT) edge devices.Communication-Free Obstacle Localization from Aggregate Wrench Measurements in Leader--Follower Cooperative Transport
We consider obstacle localization for a team of robots cooperatively transporting a rigid payload without explicit inter-robot communication.SC3BF: Shifted Collision Cone Control Barrier Function for Dynamic Obstacle Avoidance
The collision cone used by velocity-space control barrier functions is conservative: it rejects every relative velocity aimed into an obstacle, however slow.Machine Learning for German Redispatch Forecasting under Data Delays and Temporal Distribution Shift
Public redispatch records provide empirical data for grid congestion forecasting, but delayed reporting, zero-inflated distributions, and temporal shift present major modeling challenges.Infrastructure-Native Computing with Electric Power Grids
Computing is conventionally implemented by hardware engineered for information processing.Pareto-Optimal Entropy-Regularized Trajectory Optimization
Trajectory optimization (TO) under nonlinear dynamics, actuation limits and collision avoidance constraints is a fundamental problem in robotics, albeit especially challenging due to its highly…Rapid Fredholm stabilization of the Kuramoto--Sivashinsky equation with unrestricted, spatially-varying anti-diffusion
We develop the first feedback design for rapid stabilization of the Kuramoto--Sivashinsky equation with a spatially varying anti-diffusion coefficient.LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference
Control barrier functions (CBFs) certify commands through an assumed dynamics model, so an abrupt, unmeasured regime change can undermine the certificate exactly when safety matters most.Mission-Aware Attestation Envelopes for Time-Critical Autonomous Action: A Hardware-in-the-Loop V2I Study
An autonomous system that asks for a privileged physical action is usually gated on integrity evidence: a platform proves what it is running, and the request is granted or refused on that basis.The Deceptive Bandit Problem: Exploratory Coupling and the Fragility of Multi-Agent Learning
Randomized exploration is central to bandit learning, multi-agent reinforcement learning, and zeroth-order policy search, yet its independence and privacy are usually only treated as technical…