Advances in Stability Analysis and Intelligent Control for Stochastic Systems

Chair:	Co-Chairs:
Baolin Zhang Qingdao University of Science and Technology, China	Shiyuan Han  Shandong Women's University, China	Guangchen Zhang North Minzu University, China

Key Words: Complex Systems, Hybrid and Data-driven Modeling, Intelligent and Learning-based Control, Real-time & Robust Optimization, Cyber-physical Systems

Information: Complex systems spanning smart manufacturing, intelligent energy networks, autonomous transportation, advanced robotics, and large-scale cyber-physical infrastructures present significant challenges in design, analysis, and operation. These systems are characterized by high dimensionality, strong nonlinearity, multi-scale dynamics, interconnected subsystems, and inherent uncertainties. Traditional methods often fall short in capturing their intricate behaviors and ensuring efficient, reliable, and adaptive performance. This special issue focuses on advanced methodologies and applications for modeling, control, and optimization of complex systems, and addresses theoretical foundations, algorithmic innovations, and practical implementations aimed at enhancing the understanding, autonomy, and performance of such systems in real-world settings.

Topics of interest include but are not limited to: 

• Data-driven, and hybrid modeling approaches of complex systems
• Multi-scale and network-based modeling of control systems
• Learning-based control and AI-driven autonomy
• Event-triggered control strategies
• Multi-objective and dynamic optimization
• Optimization under uncertainty and real-time decision-making
• Co-design of modeling, control, and optimization

Submission Deadline: April 28, 2026 (the first round)