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.
Get the few papers worth your time in Systems & Control every morning.
Follow Systems & Control and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 26
Scenario MPC with STL Specifications and Pareto-Based Feasibility Repair
Temporal logic is a formal language for reasoning about system behaviors over time.Design and Control of a Cable-Driven Switchable Actuator with Torque/Tension Dual Modes for Exoskeletons
Existing wearable exoskeleton architectures are typically constrained by a single mechanical output modality, providing either joint torque around an anatomical joint or linear traction along a…Heating in human-HVAC interaction for smart homes: An interdisciplinary overview
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather.Cost-Aware Reinforcement Learning with Action Masking and Projection for Battery Energy Storage Dispatch under Suppressed-Spread Market Shifts
Battery energy storage system (BESS) dispatch must preserve operational feasibility while declining price spreads reduce the margin available to pay for cycling.Statistical Convergence of Transformer Encoder-Accelerated Robust Reinforcement Learning
Obtaining the optimal action-value function in Markov decision processes is computationally intensive in large state--action spaces.Partial-Scan-and-Move Source Seeking for Mobile Robots
This paper presents a partial-scan-and-move strategy for source seeking with a mobile robot equipped with an offset scalar sensor.Risk-Aware Motion Planning and Control under Unknown Dynamics with Hybrid Observations
We consider robotic motion planning and control under unknown dynamics with hybrid state observations, where state measurements are available only in parts of the state space.VISTA: An Attention-Based Multi-Agent Reinforcement Learning Architecture for Space Situational Awareness Sensor Tasking
The rapid growth of resident space objects is increasing the complexity of space situational awareness sensor tasking, challenging classical optimization methods as they allocate finite…BarrierFormer: Transformer-Guided Predictive Barrier Enforcement for Safe Robot Control
Control barrier functions (CBFs) have become one of the most popular tools for encoding and enforcing state constraints in safety-critical robotics.FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning
Underwater robot learning relies on simulators that integrate high-fidelity hydrodynamics, convenient learning interfaces, and a credible transition to real scenarios.Remote IoT Source Monitoring with Delayed Feedback
Remote source monitoring is a key use case for Internet of things (IoT) applications, calling on efficient communications protocols to ensure timely data delivery.Riemannian Density-Driven Optimal Control: Tangent-Space LQR for Second-Order Multi-Agent Systems on Curved Manifolds
Density-Driven Optimal Control (D2OC) provides an effective framework for steering multi-agent systems toward prescribed spatial distributions.Intelligent Degradation Monitoring in Lithium-ion Batteries via Discharge Incremental Capacity Feature Estimation
Accurate and timely detection of degradation in lithium-ion batteries is crucial to ensure safety, reliability, and longevity in high-demand applications such as electric vehicles and energy storage…Barrier Certificate Synthesis for Non-Polynomial Robotic Dynamics via Polynomial Lifting
Safe operation of robotic systems requires trajectories to remain within a prescribed safe set under admissible control inputs.Computationally efficient safe exploration in reinforcement learning
Reinforcement learning in real-life applications requires safety guarantees during exploration.Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving
Large language models (LLMs) and agentic AI systems are creating rapidly growing inference energy demands as model sizes grow and reasoning trajectories extend.TRACS: A Geometry-Aware Framework for Scalable Multi-Agent Path Finding in Warehouses
Large scale warehouse automation relies on efficient multi agent path finding (MAPF) to coordinate thousands of robots in structured environments.Task aware Dynamic Movement Primitives for failure detection and recovery in contact rich manipulation
Assembly remains a challenging robotic manipulation task in presence of tight tolerances and complex contact interactions.SDC-GON: Singular Decomposition and Consistency-Regularized Green's Operator Networks for Solving Partial Differential Equations
Green's function based operator approximation offers an efficient route for solving linear partial differential equations under varying boundary conditions and source terms.The Price of Self-Calibration: Exact Evidence Budgets and Manufactured Blind Sets in Adaptive Monitoring
Self-calibrating monitors adapt their threshold online to guarantee a prescribed long-run false-alarm rate under arbitrary drift.