Modeling, Control and Optimization of Complex Systems
Session Chair: 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: August 20, 2026
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: August 20, 2026
Advances in Decision-making, Tracking and Control for Unmanned System
Session Chair: Prof. Panlong Wu, Nanjing University of Science and Technology, China
Assoc. Prof. 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: August 20, 2026
Progress and Innovations in Multi-Source Information Fusion, Navigation, and Guidance Technologies
Session Chair: Prof. Shuai Chen, Nanjing University of Science and Technology, China
Key Words: Multi-source information fusion; filtering algorithms; cooperative navigation and guidance; intelligent navigation; positioning, navigation, and timing (PNT)
Information:
Advances in the information era have imposed higher performance requirements on navigation systems, while also introducing new methods and challenges. This conference aims to discuss innovations and engineering practices in multi-source information fusion algorithms, data-driven intelligent navigation algorithms, and image-recognition- and matching-based localization methods, in order to improve the accuracy and robustness of position, attitude, and timing information. In addition, the conference will further explore integrated implementations of cooperative navigation, guidance, and control. We hope to jointly examine the latest research achievements and future development trends in navigation–control–guidance integration under complex conditions such as high dynamics, severe electromagnetic interference, and weak textures, thereby promoting solutions to high-precision position, attitude, and timing acquisition as well as navigation and guidance problems for aircraft, spacecraft, automobiles, robots, ships, underwater vehicles, and other platforms operating in diverse environments, including low-altitude, high-altitude, deep-space, urban canyons, indoor and underground spaces, sea surface, and underwater settings.
Topics of interest include but are not limited to:
- Innovations and applications in cooperative navigation and guidance
- Multi-source information fusion algorithms and engineering applications
- Image recognition and matching algorithms in complex environments
- Data-driven intelligent navigation methods and innovations
- Integrated PNT and micro-PNT technologies
Submission Deadline: August 20, 2026
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: August 20, 2026
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, Safety-Critical Control
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
- Safety Verification and Control for Interconnected Systems
Submission Deadline: August 20, 2026
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: August 20, 2026
Process Monitoring and Recovery Techniques for Industrial Processes
Session Chair: Prof. Linlin Li, University of Science and Technology Beijing, China
Prof. Xin Peng, East China University of Science and Technology, China
Prof. Zhiwen Chen, Central South University, China
Key Words: Process Monitoring, Fault Detection, Fault-tolerant Control, Performance Recovery
Information: With the rapid development of computer technique, electronics and information technology, modern industrial processes are generally becoming more and more complex. For such processes, the safety and reliability issues, are of significant importance, since fault or failure may result in disastrous consequences and hazards for personnel, plant and environment, in particular when the systems are embedded in safety relevant plants like networks, robots, or power plants. As a consequence, process monitoring and recovery techniques have received considerable attention both in industry and academia over the past decades. So far, there are many complex and challenging issues in the process monitoring and recovery techniques, such as data-driven process monitoring and recovery methodologies, advanced model-based fault diagnosis and recovery techniques, as well as machine learning aided fault-tolerant control techniques and their application in complex industrial processes and safety relevant processes.
Topics of interest include but are not limited to:
- Data-driven process monitoring and evaluation techniques
- Machine learning based process monitoring and recovery techniques
- Data-driven fault diagnosis techniques
- Advanced model-based fault diagnosis and fault-tolerant control techniques for complex industrial processes
- Intelligent fault diagnosis and fault-tolerant control techniques for safe-critical systems
Submission Deadline: August 20, 2026
Analysis and Control of Discrete-event Systems
Session Chair: Prof. Zhiwu Li, Macau University of Science and Technology, China
Key Words: Petri Net, Finite State Automata, Fault Diagnosis, Security Analysis and Enforcement, Resilient Control
Information: Discrete-event systems serve as a high-level abstraction model for managing many contemporary computer-integrated systems. They effectively represent diverse information flows within systems and are crucial for designing system safety and survivability. This special session aims to highlight the latest advances in the application of Petri nets and automata theory to discrete-event systems research. Topics encompass, but are not limited to, modeling, analysis, verification, and control. It seeks to foster a platform for academic exchange among scholars in this field.
Topics of interest include but are not limited to:
- Formal modeling and verification
- Fault diagnosis and prediction
- Security analysis and enforcement
- Resilient control strategies
- Industrial application and practice
Submission Deadline: August 20, 2026
Modeling, Detection, and Optimization of Complex Systems
Session Chair: Assoc. Prof. Mei Yu, North China Electric Power University, China
Assoc. Prof. Junyan Yu, University of Electronic Science and Technology of China, China
Key Words: Modeling and Optimization, Intelligent Detection, Stability, Disturbance Rejection
Information: Complex systems are widely found in both natural environments and engineering domains, such as biological networks, transportation systems, and power grids. These systems typically exhibit characteristics like nonlinearity, dynamic evolution, and multi-scale coupling, making traditional modeling and optimization approaches inadequate for direct application. Therefore, The research on efficient modeling, intelligent detection, and optimization methods for complex systems holds significant theoretical and practical value. This special session focuses on the theories of complex system modeling, intelligent detection, stability, disturbance rejection, and optimization along with their applications in transportation and power networks.
Topics of interest include but are not limited to:
- Modeling and stability
- Intelligent detection and diagnosis
- Adaptability, robustness, and disturbance rejection analysis
- Parameter optimization and distributed optimization
Submission Deadline: August 20, 2026