Complex systems, characterized by high dimensionality, nonlinearity, strong coupling, and uncertainty, are ubiquitous in modern science and engineering, spanning fields such as aerospace, robotics, power grids, biological networks, and social economies. The control of such systems is fundamental to ensuring their stability, reliability, and optimal performance. Traditional control methods often face challenges in dealing with the intricate dynamics and large-scale nature of complex systems. The rapid advancement of artificial intelligence and information technology has ushered in unprecedented opportunities for intelligent control. By integrating advanced modeling, analysis, and control strategies, intelligent control offers promising solutions for mastering complex system behaviors, enhancing autonomy, and enabling innovative applications.

This journal calls for cutting-edge research that explores novel theories, methodologies, and applications of intelligent control for complex systems. We seek contributions that bridge the gap between theoretical innovation and practical implementation, focusing on robustness, adaptability, efficiency, and scalability in control design.

Topics of Interest Include (but are not limited to):

1. System Modeling: Neural network-based modeling and identification, Complex network theory and dynamics analysis, Modeling and analysis of multi-agent systems, Modeling of switched systems with time-delays
2. Research Objectives: Stability, stabilization, and robust control, Passivity, dissipativity, and finite-time control, State/output synchronization and consensus control, State estimation, filtering, and fault detection
3. Control Methodologies: Event-triggered and self-triggered control, Data-driven control and reinforcement learning-based control, Impulse control and intermittent control, Adaptive control, sliding mode control, and fuzzy logic control
4. Application Domains: Formation control and cooperative tracking for robot swarms or UAVs, Intelligent manufacturing and smart factory process control, Secure communication and network synchronization, Image encryption/ decryption and information security

Submission Guidelines:

Authors are invited to submit their manuscripts through our online submission system. Please consult the Instruction for Authors before submission.
Article Processing Charges (APCs) are waived before December 2026.

• Submission Link: https://sciflux.org/authors/submissions
• Journal Homepage: https://www.sciltp.com/journals/ams
• Editorial Office Contact: ams@sciltp.com
• Submission Deadline: 31 December 2026

Join AMS to share your innovative research, connect with global experts, and contribute to the advancement of applied mathematics and statistics field. We look forward to receiving your high-quality submissions!

Sincerely,
AMS Editorial Office