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):
Submission Details:
Submission Deadline: 31 December 2026
Authors' Instructions: https://www.sciltp.com/journals/ams/instructionForAuthors
Please contact the editorial office at ams@sciltp.com if you have any questions.