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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 28
Learning Fractional-Order Dynamics from a Single Trajectory
Many real-world processes exhibit long-range dependence, where the current state depends on a slowly decaying trace of past states rather than on the most recent state alone.Prior Evolution and Task Alignment for Aerial Grasping
Aerial grasping is a remarkable capability exhibited by predatory birds, allowing them to capture prey through highly coordinated maneuvers in flight.Indicators of resilience for autonomous control systems
As modern societies rely more on autonomous systems to facilitate daily life, assuring their safe operation is paramount.Risk-Aware World Modeling with Flow-Guided Occupancy Evolution for Selective Trajectory Planning in Automated Driving
Safe motion planning in automated driving requires anticipating evolving traffic risks and deciding when to revise the current planned trajectory.Towards Interaction Regulation from Human Feedback via Free Energy Minimization
A central challenge across control and learning is the design of mechanisms regulating the interactions between humans and autonomous agents.Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN
The O-RAN control plane is becoming agentic: autonomous AI agents, deployed as rApps by different vendors, independently close control loops over shared radio resources.Preventing Model Collapse: A Fisher-Rao Perspective on the Dynamics of Training with Synthetic Data
Large Language Models (LLMs) are now routinely trained using synthetic data, since high-quality human data has been exhausted by the ever increasing needs of larger and larger models.Securing quantum error correction against misleading advice from AI agents
Can an attacker turn influence over an artificial intelligence (AI) adviser into a harmful quantum error-correction update?Kinematics-Grounded Agentic AI for Robotic Additive Manufacturing Process Planning
Robotic additive manufacturing (AM) extends material-extrusion printing beyond gantry kinematics but makes process planning robot-dependent.Feasibility and Singularity in High-Order Safety-Critical Control for Quadrotor UAVs
We study high-order safety-critical control of quadrotor teams under bounded inputs and pairwise collision-avoidance constraints.Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control
Online residual learning can reduce model mismatch in predictive control, but passive data collection may fail to adequately cover states that become important later in the task.Demystifying Linear Operator Learning for Control Systems
This paper proposes a structured approach to learning linear operators for control systems from data.Winning a Won Game: Strict Reach-Avoid-Stay Control Barrier Functions for High-Dimensional Black-Box Systems
Robots must complete their tasks and maintain the achieved outcomes while avoiding safety failures at all times.Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems
This tutorial provides a unified view of the emerging area of bilinear learning and control.Large Language Models in the Loop: A Stability- and Network-Aware Survey in Networked Control, Cyber-Physical, and Multi-Agent Systems
Modern networked control systems (NCSs), cyber-physical systems (CPSs), and complex multi-agent network systems (CNSs) increasingly rely on large language models (LLMs) for high-level decision-making.Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation
Power Flow (PF), Optimal Power Flow (OPF), and State Estimation (SE) are fundamental problems in power system analysis, but solving them is computationally expensive.A Set-Theoretic Evaluation Framework for Assessing Asset Administration Shell Instances: Towards Comparability and Suitability
Asset Administration Shells (AAS) provide a standardized means of representing assets and their information in manufacturing and increasingly serve as a basis for software services.Towards an Asset Administration Shell Maturity Model
The Asset Administration Shell (AAS) is increasingly recognized as a fundamental model for the realization of and data exchange between digital twins in manufacturing.Intervention problems in the Linear Threshold Model: A general formulation and new results
We study an optimal intervention problem for linear threshold models.Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an Anthropomorphic Hand
A walking robotic hand must use the same fingers to move its body, support its weight, and interact with the environment.