
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): 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 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 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 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

AMS seeks to showcase cutting-edge research on innovative solutions in both medical and engineering domains. Emerging challenges in healthcare, biomedical systems, intelligent manufacturing, sustainable engineering, and complex industrial processes require advanced mathematical, computational, and statistical approaches capable of extracting meaningful insights from large-scale and heterogeneous data. We aim to bring together researchers, practitioners, and industry experts to present recent advances in computational and statistical methods that support next-generation medical and engineering solutions. We welcome original contributions that develop novel theories, algorithms, models, and applications addressing real-world challenges through applied mathematics, statistics, artificial intelligence, machine learning, optimization, simulation, and data analytics. Particular emphasis will be placed on interdisciplinary research that integrates computational intelligence with statistical reasoning to improve decision-making, prediction accuracy, system reliability, and operational efficiency in healthcare and engineering environments. Contributions demonstrating innovative applications, practical implementations, and emerging trends are especially encouraged. Topics of Interest Include (but are not limited to): Applied mathematics and statistical modeling Machine learning and artificial intelligence Data science and predictive analytics Computational optimization and metaheuristic algorithms Simulation and digital twin technologies Medical image and signal processing Biomedical data analysis and health informatics Computational epidemiology and public health analytics Intelligent manufacturing and Industry 4.0 systems Reliability analysis and uncertainty quantification Smart healthcare and personalized medicine Engineering design optimization Computational mechanics and multiphysics modeling Big data analytics for engineering applications Decision support systems and intelligent control Statistical quality control and process monitoring Deep learning applications in medicine and engineering Sustainable and resilient engineering systems Authors of high-quality papers presented at the IEEE International Conference on Smart Innovations for Medicine and Engineering (SIME 2026) will be invited to submit extended versions of their conference papers for consideration in this Journal. The extended manuscripts must contain substantial new material beyond the conference version, including additional experimental results, theoretical developments, analyses, or applications. All submitted extended papers will undergo a rigorous peer-review process in accordance with the journal’s standards. We aim to showcase the most innovative and impactful research contributions presented at SIME 2026 and to further promote advances in smart technologies for medicine and engineering. 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