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Systems & Control
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703 papers, from 31 August 2026 to 5 November 2026: 644 arXiv preprints and 59 OpenAlex records.
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Newest papers, page 31
VertexCBF: Improving Neural Control Barrier Functions via Vertex-Restricted Control Search
As the number of autonomous robots continues to grow, safety becomes increasingly important.Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models
The widespread adoption of data-driven, energy-efficient model predictive control (MPC) in buildings remains hindered by substantial effort to collect data and train models for individual buildings.Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations
Robots are increasingly used in diverse application areas, where autonomous navigation plays a central role.Global Path Planner with Multi-Model Switching
This work enhances global path planning via a pure-pursuit controller with multi-model kinematic switching that sustains plan fidelity across diverse terrains.Differential Realizability of Static Control Allocation in Multirotors: An Impossibility under Nonredundant Full Actuation and a Pseudoinverse Obstruction under Redundant Actuation
Control allocation for multirotors with bidirectional propellers is commonly formulated in signed-thrust variables, where the wrench map is linear.A Mathematical Theory of Pragmatic Information
We propose a mathematical theory of pragmatic information that connects communication, control, and decision-making.BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure
LM-agent benchmarks increasingly function as interactive evaluation infrastructure.Freehand Sketching for End-User Programming of Robot Swarms
Robot swarms are increasingly used in applications where accessible interaction with non-expert users is desirable.Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development
Cyber-Physical Systems (CPS) are commonly represented through multiple interconnected models.GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives
Reconfigurable robots can change their contact geometry when a fixed body cannot negotiate an obstacle.Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
This paper presents a novel approach for data-driven self-learning control of highly flexible, modular manufacturing systems.Truncated Noisy Best-Response Algorithms: Toward Game Theoretic Learning with Safety Guarantees
We consider a game theoretic approach to solve multi-agent coordination problems with submodular maximization objectives.Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks
Self-triggered reinforcement learning control (RL-STC) learns the sparsest control schedule that preserves Lyapunov-decreasing stability under a Run-Time Assurance (RTA) override.Deriving the Pure Price of Anarchy for Networked Resource Allocation Games
This work considers multi-agent coordination with arbitrary information networks among the agents using a game-theoretic approach.Battery-Aware Predictive Trajectory Planning and Control for Multirotors Under Disturbances
This paper presents a battery-aware predictive trajectory-planning and control framework for multirotors operating under spatially localized disturbances.Adaptive Chemotherapy Control under Tumor Heterogeneity via Reinforcement Learning
Designing effective chemotherapy regimens is hindered by tumor heterogeneity and drug resistance, which complicate the deployment of patient-specific model-based optimal control across diverse…Mission Performance: Automatic and Adaptive Race Pace Progression for Autonomous Racing
In this paper, we describe the Mission Performance module implemented for a fully autonomous racing car to automatically manage the longitudinal, lateral, and combined performances, aiming to…Control of 1D first-order linear hyperbolic systems: a brief survey
At the occasion of the 70th birthday anniversary of Jean-Michel Coron, we review the literature on the control of 1D first-order linear hyperbolic systems, a topic where he has made significant…Surprise Reduction and Nullification in Bayesian and Inverse Bayesian Inference under Ambiguous Prediction-Error Attribution
In non-stationary environments, prediction errors may signal environmental change or transient outliers, and adaptive systems must track such changes without overreacting to outliers.Can AI Agents Detect and Repair Artifact Drift in Network Experiments?
In recent years, AI agents have evolved into capable assistants that carry out multi-step tasks in digital environments.