Modeling, Control and Optimization of Complex Systems

Session Chair: Assoc. Prof. Ze Tang, Jiangnan University, China

Prof. Xiangyong Chen, Linyi University, China

Assoc. Prof. Jingyi Wang, Shenzhen University, China

Key Words: Complex Systems, Modeling, Stability Analysis, Control and Optimization, Cooperative Control

Information: The nonlinear characteristics and dynamical behavior of complex systems have sparked a wave of research interest in recent years. For systems with communication capabilities, the overall dynamical behavior resulting from their information interactions has become a focal point of in-depth investigation. Designing control inputs to achieve cooperative behavior in coupled complex systems is a particularly prominent topic. This session aims to discuss the latest research progress in complex systems, with a special focus on the overall dynamical behavior of communication-capable systems through information interaction. We expect this session to bring together researchers from various fields to discuss cutting-edge issues related to modeling and control of complex systems under nonlinear and communicative conditions, thereby promoting further development in this field.

Topics of interest include but are not limited to:

• Automation Control

• Complex Systems

• Network Control Systems

Submission Deadline: June 1, 2025

Modeling, Control and Analysis of Mixed Traffic Flow with Autonomous Vehicles

Session Chair: Prof. Wenxing Zhu, Shandong University, China

Prof. Guanghan Peng, Guangxi Normal University, China

Key Words: Mixed Traffic Flow, Autonomous Vehicles, Stability Analysis, Controller Design, Energy Consumption Analysis 

Information: With the rapid development of the social economy and science technology, autonomous vehicles have become a research hotspot in the field of modern transportation, and the mixed operation of manual driving and autonomous vehicles will become an inevitable trend in the future. There are a lot of physicists and scholars interested in this field for many years. In addition, under the dual carbon goal in our country, the energy consumption of mixed traffic flow with vehicles driven by multiple energy sources is also a hot issue having attracted the attention of lots of experts and scholars. Through the organization of this session, we hope to attract experts in this field to share the latest research results and feasible solutions, and promote the solution of various complex problems in the field of mixed traffic flow.

Topics of interest include but are not limited to:

• Modeling on Mixed Traffic Flow 

• Energy Consumption Analysis on Various Vehicles

• Controller Design Method on Mixed Traffic Flow

Submission Deadline: June 1, 2025

Advances in Decision-making, Tracking and Control for Unmanned System

Session Chair: Prof. Panlong Wu, Nanjing University of Science and Technology, China

Dr. Shan He, Nanjing University of Science and Technology, China

Information: The session will focus on the core aspects of unmanned systems, including target detection and recognition, situational awareness, autonomous decision-making, and collaborative control, with an emphasis on addressing critical challenges such as low efficiency in multimodal data fusion, delays in behavioral cognition and intent inference, poor interpretability of strategies, and insufficient stability in group consensus control. Furthermore, it will explore practical applications of machine learning algorithms—including deep learning, reinforcement learning, and large-scale models—in prediction, decision-making, and intelligent interaction. This session aims to bring together researchers from diverse disciplinary backgrounds to advance the theoretical development and practical implementation of unmanned system control.

Topics of interest include but are not limited to:

• Integration theory of intelligent perception and autonomous decision-making

• Autonomous target detection and recognition in open environments

• Task allocation and path planning

• Autonomous control of unmanned systems

• Machine learning algorithms and their trustworthy applications

Submission Deadline: June 1, 2025

Advances and Innovations in Multi-source Information Fusion, Navigation and Guidance Technology

Session Chair: Prof. Shuai Chen, Nanjing University of Science and Technology, China

Key Words: Multi-source Information Fusion, Filtering Algorithm, Image Recognition, Collaborative Navigation and Guidance, Intelligent Navigation

Information: The development of the information era has put forward higher requirements for the accuracy of navigation information, while also bringing various new methods and challenges. This conference aims to discuss the innovations and engineering practices of multi-source information fusion algorithms, data-driven intelligent navigation algorithms, and image-based positioning algorithms to improve the precision and robustness of the position and attitude. In addition, it further explores the integrated implementation of collaborative navigation, guidance, and control. We hope to jointly explore the latest research achievements and future development trends in the integration of navigation, control, and guidance under complex conditions, and promote solutions to issues such as unmanned vehicle driving, drone flight control and guidance, and high-precision position and attitude acquisition and control guidance for aerospace vehicles under complex conditions including urban canyons, underground parking garages, and satellite loss.

Topics of interest include but are not limited to:

• Innovations and Applications of Collaborative Navigation and Guidance

• Multi-source Information Fusion Algorithms and Engineering Applications

• Image Recognition Algorithms under Multiple Interferences

• Data-driven Intelligent Navigation Methods and Innovations

Submission Deadline: June 1, 2025

Design, Control and Optimization of Green Hydrogen Integrated Energy Network System

Session Chair: Prof. Yunfeng Peng, Shanghai Jiao Tong University, China

Dr. Longze Wang, North China Electric Power University, China

Key Words: Green Hydrogen System, Industrial Control Network, Power Control, Energy Management, System Modeling

Information: Under the background of global decarbonization, as the main energy carrier, comprehensive energy system of green hydrogen has been paid widespread attention. Due to random change of weather, the output of photovoltaic and wind power system show significant randomness. Grid regulation, hydrogen energy vehicle scheduling and changing hydrogen supply demand of chemical plants make the problem of untimely and unreasonable hydrogen absorption increasingly prominent. Therefore, the imbalance on the supply and demand side leads to the low energy efficiency of the system. Digital modeling technology is considered to be an effective tool to guide system management. The construction of information perception, transmission and decision-making network of green hydrogen integrated energy network system based on digital model is expected to improve energy efficiency. Through the power control of hydrogen-to-electricity conversion, the management of multi-energy flow in the park and optimal scheduling of hydrogen industry chain, the maximum consumption of power generation can be realized, as well as reliable production, manufacturing, operation and maintenance. This topic will focus on the application of digital modeling and intelligent control methods to improve the efficiency of green hydrogen integrated energy network system.

Topics of interest include but are not limited to:

• Digital modeling of green hydrogen integrated energy network system

• Information perception, communication, control and calculation of green hydrogen integrated energy network system

• Power control of hydrogen-electric integration

• Management strategy of hydrogen, electricity and thermal energy in zero-carbon park

• Optimal scheduling of hydrogen production, storage, transport and hydrogen injection

Submission Deadline: June 1, 2025

Advanced Control Theory and Applications of Intelligent Systems

Session Chair: Assoc. Prof. Jianqi Chen, Nanjing University, China

Assoc. Prof. Di Zhao, Tongji University, China

Key Words: Intelligent System, Adaptive Control, Multi-Agent Systems, Robust Control

Information: This session focuses on advanced control theory for intelligent systems and its cutting-edge applications. With the rapid development of artificial intelligence, machine learning, and big data technologies, the application of intelligent systems has expanded across various fields, including autonomous driving, smart manufacturing, robotics, and the Internet of Things. The session will concentrate on advanced control methods in intelligent systems, such as adaptive control, robust control, and coordination and optimization in multi-agent systems, while also addressing the challenges and real-world applications of these theories. We invite scholars and researchers worldwide to share their latest results on innovations in control theory for intelligent systems, application cases, and technical implementations, contributing to the theoretical development and widespread application of intelligent systems.

Topics of interest include but are not limited to:

• Adaptive Control and Collaborative Optimization for Intelligent Systems

• Robust Control in Multi-Agent Systems

• Control Theory and Practice in Smart Manufacturing

• Challenges and Solutions in Delay Systems and Networked Control

  
  Submission Deadline: June 1, 2025

Superlinear Convergence Consensus and Distributed Optimization Based on New Optimization Methods

Session Chair: Assoc. Prof. Hongxia Wang, Shandong University of Science and Technology, China

Assoc. Prof. Liping Zhang, Shandong University of Science and Technology, China

Key Words: Distributed Optimization, Distribute Optimal Control, LQ Optimal Control, Superlinear Convergence

Information: With the rapid advancement of technologies such as the Internet of Things, big data, and mobile internet, distributed optimization has found extensive application in various industrial sectors, including smart grids, intelligent transportation, and intelligent manufacturing. Distributed (Decentralized) optimal control stands as a pivotal issue in networked control systems and multi-agent systems. However, the development of distributed optimal control has progressed relatively slowly due to the intricate challenges posed by the complex interplay between agents, influenced by communication topology, on both the overall system dynamics and the cost functional. This session will focus on discussing the challenging problems on distributed optimization, distributed optimal control of multi-agent systems, Stackelberg game control and their applications. We aspire to engage experts in this domain to impart their latest research findings and facilitate the resolution of the distributed optimization problem.

Topics of interest include but are not limited to:

• Distributed Optimization

• Distributed Optimal Consensus

• New Optimization Methods Based on Optimal Control and Its Applications

Submission Deadline: June 1, 2025