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 20
Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization
Vision-Language-Action (VLA) models based on generative frameworks, such as Flow Matching, have recently achieved impressive performance in robotic manipulation.DODGER: Safety-Guided Reinforcement Learning for Robot Navigation Among Dynamic Obstacles
Robots operating in human-centered environments must safely navigate among multiple dynamic obstacles to avoid collisions with people and surrounding infrastructure.Learning Continuous Neural Representation of Stochastic Hybrid Systems
A stochastic hybrid system (SHS) is governed by a stochastic differential equation (SDE) describing the continuous dynamics and a Markov reset kernel triggered on the guard surface.Fast and Scalable Multi-Agent Distribution Matching via Partitioned Optimal Transport
This paper presents a scalable optimal-transport-based framework for terminal distribution matching in multi-agent systems.Dynamics to decision: A mathematical theory of Lyapunov spectra and decision boundaries in deep classifiers
A deep classifier is defined not only by the decision it produces, but also by the sequence of transformations through which that decision is formed.Communication-Free Distributed Multi-Robot Task Allocation under Partial Observations Using Labeled Multi-Bernoulli Filtering
This paper proposes a communication-free multi-robot task allocation framework based solely on local observations.General Performance Guarantee for Human Torque Estimation-Based Task-Agnostic Assistive Exoskeleton Control
Accurate human torque estimation is crucial for enabling task-agnostic control in robotic exoskeleton systems.Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds
Neural trajectory predictors can reach low prediction error while violating dynamics, actuator limits, or state constraints, especially when controls are unobserved and dynamics are partially…Magnetic based In-situ Self 3D Pose Estimation for a Modular Soft Tendon-Driven Continuum Robot via IMU-Fusion
Continuum robots are well suited for gentle manipulation because of their inherent compliance and ability to adapt to complex environments.TACTIC: Temporal and Context-Aware LLM Tactical Planning for Roadside LiDAR Attacks
Physical LiDAR attacks are often evaluated using fixed primitives and manually selected parameters, despite their strong dependence on surrounding traffic.BatSLAM 2.0: Sequence-Verified Sonar Place Recognition in a Robust Pose Graph
Echolocating bats can navigate dark and cluttered spaces using echolocation.Passive Stiffness Shaping in Cable-Suspended Aerial Manipulation via Movable Compliant Anchors
Cable-suspended aerial manipulation offers a lightweight architecture for cooperative transportation and physical interaction, yet the passive mechanical response perceived at the load remains…Admissibility-Preserving Control for Multi-Input Systems with Joint Capacity Constraints
This paper addresses the control of multi-input strict-feedback nonlinear systems subject to a joint capacity constraint, in which the admissible input set is a coupled subset of the individual…Spatial Strategies, Not Actions: Vector-Quantized Geodesics as Tools for LLM-Driven Agents
Large language model (LLM) based agents are often criticized for lacking spatial understanding and mainly exploiting statistical text patterns.Learning Linear Systems under Heavy-Tailed Noise: A Non-Asymptotic Analysis from A Single Trajectory
We establish non-asymptotic sample complexity bounds for the least-squares estimation of vector autoregressive models for exponentially stable systems with heavy-tailed noise based on a single…Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving
This paper develops a meta-multi-agent reinforcement learning (meta-MARL) framework to enable fast adaptation of interactive policies in a multi-agent system (MAS).DQ-MPCC: Dual-Quaternion MPCC for Quadrotor Racing
Quadrotor racing demands aggressive attitude and progress control while passing through every gate, and conventional quadrotor MPCC formulations state the prediction model in inertial coordinates…Distilling Privileged Control Barrier Functions into RGB-Only Safety Filters for Dynamic Visual Navigation
RGB-only end-to-end visual navigation policies remain vulnerable to collisions in real-world dynamic environments, motivating a dedicated safety layer.Information-theoretic receding-horizon active learning of nonlinear dynamical systems
Accurately learning nonlinear dynamics from a finite-duration experiment requires the efficient collection of informative data.Safe-by-Design Learning via Energy-based Neural Networks
Learning neural-network models of dynamical systems with safety guarantees is a fundamental requirement for their deployment in safety-critical settings.