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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 29
Port-Hamiltonian Koopman Operator Synthesis for Mechanical Systems
Finite-dimensional Koopman models enable efficient linear prediction and control of nonlinear robotic systems.RobResilience: Implementing and Evaluating a Resilience Framework for Cyber-Physical Embodied Systems
In embodied cyber-physical systems, active cyberattacks pose an immediate threat not just to data, but to physical integrity and human safety.Hamilton-Jacobi Reachability for Hybrid Systems: Unified Goal-Driven Control with Safety Guarantees
Hybrid dynamical systems provide a powerful modeling framework for robotic systems, particularly in contact-rich environments.Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification
This paper proposes a least squares approach for the training of quadratic neural networks with regularization.Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control
Integrated deep reinforcement learning (DRL) and model predictive control (MPC) methods are increasingly used to control autonomous systems by combining their complementary capabilities.SPROUT: The Open-Source Soft Growing Robot for Search and Rescue
Soft robotic systems have long been theorized as ideal candidates for use in search and rescue operations; however, there have been significant barriers to entry in graduating soft robotic systems…Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder
The increasing adoption of electric vehicles (EVs) is expected to place significant additional demand on residential distribution networks, creating a need for realistic charging datasets for…High-Probability Nash Regret for Decentralized Learning in Markov $α$-Potential Games: Episodic and Fully Online Asynchronous Algorithms with Applications to Markov Congestion Games
We study decentralized learning of Nash equilibria (NE) in infinite-horizon discounted Markov games under bandit feedback, focusing on Markov $α$-potential games.Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling
A finite-difference bowed-string model with implicitly resolved Stribeck friction is presented, with a regime diagnostic, the Schelleng bow-force limits on four strings, and a comparison of learned…Safe Meta-Reinforcement Learning via Information Space Reachability
Meta-reinforcement learning (meta-RL) enables agents to adapt to unseen tasks with limited experience.GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
The sharp increase in mass shootings underscores an urgent need for systems that guide victims to safety in real time.Tendon-Driven Continuum Robot with Modular Stiffness and In-Situ Self Pose Estimation
Continuum robots enable smooth shape morphing and safe interaction in confined environments.Autonomous Droplet Navigation via Model-Based Reinforcement Learning
Precise manipulation of liquid droplets underpins lab-on-a-chip platforms for diagnostics, chemical synthesis, and biological assays.Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge Caching
Wireless edge caching networks typically consist of many independent Base Stations (BSs), each facing its own request rate and content popularity profile.Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms
Unmanned aerial vehicle (UAV) swarms deployed in mission-critical applications must simultaneously track a mobile aerial target and maintain reliable data links.Novel Ex-vivo Calf Brain Model with Integrated Sub-Skull Force Sensors to Access Simulated Neurosurgical Procedures
Surgical tissue manipulation demands precision; however, tool-tissue manipulation force magnitudes under realistic conditions are rarely quantified.LLaTSA: Large Language Model-Aligned General-Purpose Transient Stability Analysis
Dynamic trajectory prediction has become an important paradigm for data-driven transient stability analysis (TSA), yet most existing predictors remain system-specific and require substantial…Orientation Control of Soft Robots via Adiabatic Spectral Submanifolds
Soft robots are commonly sought for safety-critical interactions in delicate environments, where accurate position and orientation control is imperative.Learning-Based Dynamic Obstacle Avoidance for a UAV Using Only Three Range Sensors
We present a learning-based approach to kinodynamic online motion planning for an Unmanned Aerial Vehicle (UAV) operating at a fixed altitude in unknown dynamic environments, where real-time…An Adaptive Fixed-Time Line-of-Sight Guidance Scheme for 3D Path Following of Underwater Vehicles: Theory and Experiment
Reliable path tracking is crucial for autonomous underwater vehicles (AUVs) operating in dynamic and uncertain marine environments.