The field of distributed control and multi-agent systems is rapidly evolving, with a focus on developing innovative solutions for complex problems. Recent research has explored the use of hybrid frameworks, combining global search with multi-agent reinforcement learning, to improve success rates and path efficiency in dynamic environments. Additionally, there has been a surge in interest in distributed design methods for ultra large-scale control systems, which require distributed design algorithms that can handle stringent requirements regarding communication, computation, and memory usage. Noteworthy papers in this area include 'Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps' and 'Distributed Design of Ultra Large-Scale Control Systems: Progress, Challenges, and Prospects'. Other notable works have investigated intent-aware model predictive control for aircraft detect-and-avoid systems, distributed model predictive control for dynamic cooperation of multi-agent systems, and hierarchical policy-gradient reinforcement learning for multi-agent shepherding control of non-cohesive targets.
Advancements in Distributed Control and Multi-Agent Systems
Sources
Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
Open-loop control design for contraction in affine nonlinear systems
Small-gain conditions for exponential incremental stability in feedback interconnections
Distributed Freeze Tag: a Sustainable Solution to Discover and Wake-up a Robot Swarm
A Centralized Planning and Distributed Execution Method for Shape Filling with Homogeneous Mobile Robots
Attitude Synchronization for Multi-Agent Systems on SO(3) Using Vector Measurements
Distributed Design of Ultra Large-Scale Control Systems: Progress, Challenges, and Prospects
Intent-Aware MPC for Aircraft Detect-and-Avoid with Response Delay: A Comparative Study with ACAS Xu
Steering Large Agent Populations using Mean-Field Schrodinger Bridges with Gaussian Mixture Models
Data-Driven Distributed Output Synchronization of Heterogeneous Discrete-Time Multi-Agent Systems
Distributed Model Predictive Control for Dynamic Cooperation of Multi-Agent Systems
Combined Aerial Cooperative Tethered Carrying and Path Planning for Quadrotors in Confined Environments
LQR based $\omega-$stabilization of a heat equation with memory
Long-Range Rendezvous and Docking Maneuver Control of Satellite using Cross-Feedback Sliding Mode Controller
Anticipating Degradation: A Predictive Approach to Fault Tolerance in Robot Swarms
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks
Orthodromic Routing and Forwarding for Large Satellite Constellations
Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets