Applications of Differential Equations in Cooperative Control of Multi-Agent Systems

Deadline for manuscript submissions: 31 October 2025

 

Special Issue Editors

 

Dr. Mengji Shi Website  E-Mail: maangat@126.com
Guest Editor
University of Electronic Science and Technology of China, China                          
Interests: cooperative control of multi-agent systems, distributed control

      

Special Issue Information

 

This special issue aims to present recent advances in the modeling, analysis, and control of multi-agent systems (MAS) through the lens of differential equation-based frameworks. As autonomous systems grow increasingly complex and pervasive in fields such as robotics, aerospace, transportation, and smart grids, the need for rigorous mathematical models that can capture the continuous-time and discrete-time dynamics of interacting agents becomes ever more critical.


Differential equations—including ordinary differential equations (ODEs), partial differential equations (PDEs), and delay differential equations (DDEs)—offer a powerful toolset for characterizing the evolution of agent states over time. They enable researchers to investigate key properties such as stability, convergence, robustness, and performance guarantees, which are foundational to the reliable deployment of MAS in dynamic and uncertain environments.


This special issue seeks high-quality original contributions that explore theoretical innovations, algorithmic developments, and practical implementations. Topics of interest include, but are not limited to:


1)Distributed and decentralized control strategies
2)Consensus and synchronization under switching and signed topologies
3)Time-varying and event-triggered coordination
4)Formation control with constraints and obstacle avoidance
5)Learning-enhanced control and adaptation in MAS
6)Resilience and fault-tolerant mechanisms in adversarial settings
7)Applications in UAV swarms, autonomous vehicles, sensor networks, and cyber-physical systems


We especially encourage submissions that bridge the gap between theory and practice, demonstrating how differential equation-based techniques can lead to scalable, efficient, and robust MAS solutions in real-world scenarios.


By bringing together contributions from control theory, applied mathematics, artificial intelligence, and systems engineering, this special issue aims to foster interdisciplinary collaboration and provide a comprehensive overview of current trends and future directions in MAS research. We look forward to receiving submissions that push the boundaries of what multi-agent systems can achieve through the unifying framework of differential equations.

 

Keywords: 

 

  • Multi-Agent Systems
  • Differential Equations
  • Cooperative Control
  • Distributed Optimization
  • Formation Control
  • Consensus and Synchronization

 

Plan papers:

 

Title

The expected submission time

Seeking bipartite consensus of multi-agent systems with nonuniform time delays

Oct. 30, 2025

Robust bipartite tracking control of networked agent systems via neural network combined with UDE

Oct. 30, 2025

 

 

 

 Published Papers