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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 30
A Personalized Dynamic Balance Evaluation Paradigm for Hip Exoskeleton-Assisted Walking under Unexpected Ground Perturbations
Hip exoskeletons may improve recovery from unexpected gait perturbations, yet personalizing assistance remains difficult because balance is multidimensional and human-in-the-loop experiments are…Belief-Adaptive Online Autonomy for Quadrotor UAV Navigation under GNSS Degradation in Urban Environments
Reliable online autonomy is critical for quadrotor operation in urban airspaces, where global navigation satellite systems (GNSS) measurements suffer from multipath, blockage, and latency issues…Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer
Red-light violations and harsh braking at signalized intersections are major contributors to traffic accidents.On the Equivalence of Stochastic Control and Path Space Formulations for Schrödinger Bridges over Compact Connected Lie Groups
We establish the equivalence between the stochastic optimal control and path space formulations of the Schrödinger bridge problem (SBP) for the kinematic equation on a compact connected Lie group.LoRA Fine-Tuned Models for Control Systems Course Q\&A: A Multidimensional Evaluation of Model Scale and Rank Effects
Large language models (LLMs) are increasingly used in specialized university courses, but control-systems questions require coordinated terminology, notation, derivations, and stepwise explanations.Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation
Diffusion-based generative models (DMs) have found applications in control problems, and in particular robotics, where the DMs enable exploration of possible control solutions.Gradient-Free Neural Hamilton-Jacobi Reachability for Scalable Safety-Critical Control
Hamilton-Jacobi (HJ) reachability provides a principled framework for synthesizing safety certificates and robust controllers for safety-critical robotic systems.Real-Time Synthesis of Robust Controlled Invariant Sets for Monotone Systems
Safety-critical control of autonomous systems requires formal safety certificates, such as controlled invariant sets, that must be computed online as conditions change.LoRA-RC: Reservoir Computing with Low-Rank Adaptation
Reservoir computing (RC) trains only a linear readout over a fixed recurrent layer, making it fast and data-efficient for online prediction.The Iterative Equivariant Filter
This paper presents the iterative equivariant filter (IterEqF).Linear Exponential Quadratic Gaussian Covariance Steering
We formulate and analyze the linear exponential quadratic Gaussian (LEQG) covariance steering problem in continuous time over a given deadline (finite time horizon).Adaptive Agent Design
We consider an agent acting against a general non-Markovian environment.LettuceVisSim: A Simulator That Generates Lettuce Image Time-series for Vision-Based Reinforcement Learning
Vision-based reinforcement learning holds strong potential for decision-making in controlled environment agriculture (CEA).Computing at Sea: Floating and Offshore Data Centres as a Pathway to Sustainable AI Infrastructure
The rapid expansion of artificial intelligence is transforming data centres into one of the world's fastest-growing sources of electricity demand.Autonomous Precision Milling of Biological Structures via Generic Anatomical Priors and Active Boundary Perception
Autonomous precision milling of biological structures is challenged by incomplete knowledge of target geometry, local material thickness, and critical internal boundaries.Driving Context-guided Model Predictive Planning and Control for Autonomous Car Racing at the Limit and Beyond
This paper presents a Model Predictive Control-based motion planning and control pipeline for autonomous car racing capable of adapting to different driving contexts, such as overtaking, nominal…Personalized and Trust-Aware Health Recommendation Policies for a Construction Workplace
Construction workers face workplace risks such as fatigue, heat stress, and other physically demanding conditions that can negatively affect their health and safety.Supermartingale Certificates for Parametric MDPs
We consider the problems of formal verification and synthesis in parametric Markov decision processes (MDPs) with general measurable state and action spaces.High-Probability Convergence of SGD via Batched Updates
Stochastic gradient descent (SGD) is the primary workhorse for large-scale optimization.High-Fidelity Multi-Body Simulator for Autonomous Racing
We present a custom high-fidelity vehicle dynamics simulation environment for testing and validation of Autonomous Racing software.