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 4
A Tutorial on Shape Servoing of Deformable Objects-Part II: Advanced Concepts
In robotics, shape control, or shape servoing, refers to the automatic manipulation of a deformable object toward a desired shape.Timely Ground-Station Status Delivery via UAV-Assisted Data Collection and Hierarchical RL
We consider a UAV-assisted status-update system in which a rotary-wing unmanned aerial vehicle (UAV) collects updates from multiple sensors, stores the newest update of each sensor, and forwards…When Music Needs Meaning: Semantic Communication as a Transformative Enabler for the Musical Metaverse
The Musical Metaverse (MM) enables geographically distributed musicians, audiences, sound engineers, and AI agents to interact through synchronized audio, visual, kinematic, and haptic streams…Uncertainty-Aware Joint Generative Modeling of Fault Event Sequences and Sensor Time Series in Solar PV Plants
This paper presents a multimodal generative model designed to simulate a solar energy plant system for predictive maintenance and fault prediction.Dual Path Following for an Aerial Manipulator Under State and Input Constraints via Transverse Feedback Linearization
This paper studies dual path following for a quadrotor carrying a three-degree-of-freedom arm.Direct Covariance-to-Beamformer Mapping for Low-Latency Hybrid ISAC Beamforming with Subsequent DoA Estimation
Integrated sensing and communication (ISAC) systems typically employ a two-stage beamforming pipeline, in which target directions are first estimated from the received covariance matrix and then…A sensor-driven physics-informed neural network for real-time occupant-centric space heating control
Conventional space heating systems typically rely on single or sparse fixed-point temperature measurements, overlooking non-uniform indoor temperature distributions, transient thermal dynamics, and…A Deep Reinforcement Learning Framework for Real-Time Electric Vehicle Charging Management in IoEV-Enabled Smart Cities
The rapid growth of electric vehicles (EVs) in urban environments demands intelligent, decentralised charging management strategies that operate under strict real-time constraints.FADE: A Flow-Based Approach for Multichannel Tail Estimation
Ultra-Reliable Low-Latency Communication (URLLC) is vulnerable to rare low-received-power events, and the spatial-diversity benefits of multiple receivers can be significantly reduced when they…Rare Event Constrained Reinforcement Learning with Large Deviations
We study finite-horizon reinforcement learning with a safety constraint on the probability of reaching a failure set.Semantic Interoperability in Federated Digital Twin Systems: A Systematic Review Through the Levels of Conceptual Interoperability Model
When two companies connect their digital twins, software models of their plants kept up to date with live data, each twin must translate the other's data into its own terms, and that translation…Vision-based Sensing of Urban Environment using Hardware-Software co-design at Scale
Urban environmental monitoring is crucial for climate-adaptive cities, yet current approaches rely heavily on human inspection, overhead remote sensing, or limited terrestrial RGB imagery, thereby…Learning hidden-state dynamics from unpaired snapshots with lift-project SDEs
Many systems are observed only through unpaired snapshots, with population samples available at each time point but no correspondence between samples at different times.Benchmarking Classical Machine Learning Models for Shading-Fault Detection in Rooftop Photovoltaic Systems Using Real Sensor Data
Most published comparisons of machine-learning classifiers for photovoltaic (PV) fault detection are validated on simulated faults.GURU: A Hierarchical Neuro-Symbolic Multi-Agent System for Verification-Aware Automation of Mission-Critical Digital Engineering and Operations
An AI can find a safe action faster than any human, but it must never decide what counts as safe.Robust Safety Assurance for Robotic Swarms Using Decentralized Collision Verification
In this paper we present the methodologies, results, and analysis used to deploy a decentralized safety verification algorithm on a robotic swarm to prevent collisions at runtime in an outdoor…Differentiable Iterative Learning Control for Black-Box Position-Commanded Manipulators
High-accuracy repetitive tracking is challenging for position-commanded manipulators whose low-level controllers are inaccessible, while constrained model-based iterative learning control (ILC) can…Sub Terahertz LEO Satellite Communication: Is Doppler Shift a Major Challenge?
In this work, we investigate the impact of Doppler frequency shift on sub-terahertz low Earth orbit (LEO) satellite communications using OFDM transmission.Learning momenta for Hamiltonian-based models
There has been increasing interest in methodologies that incorporate physics priors into neural network architectures to enhance their modeling capabilities.HIPC: Humanoid Iterative Planning and Control via Goal-Conditioned Motion Closure
Recent generative models are widely used to provide whole-body motion for humanoid tracking.