The 16th International Conference on Modelling, Identification and Control (ICMIC 2024) is sponsored by North University of China (NUC) and Shanxi Datong University (SDTU), China. It provides an international forum for professionals, academics, and researchers over the world to present latest developments from interdisciplinary theoretical studies, computational algorithm developments and applications. It particularly welcomes those emerging methodologies and techniques related to modeling, identification, signal processing and control, which bridge theoretical studies and applications in all engineering and science branches.
Any papers solicited on all aspects of research, development, and application of modeling, identification, instrumentation, signal processing and control are welcome. The potential topics include but not limited to:
•  System Identification
•  Data-driven Modeling and Control
•  Adaptive Control
•  Linear/Nonlinear Control Systems
•  Predictive Control
•  Optimization and Optimal Control
•  Process Modeling and Process Control
•  Cooperative Control Systems
•  Networked Control Systems
•  Intelligent Systems
•  Soft Computing Techniques
•  Signal Processing and Information Fusion
•  Fault Diagnosis and Reliable Control
•  Vibration Analysis
•  Noise Measuring and Control
•  Condition Monitoring
•  Structural Dynamics
•  Pattern Recognition
•  Machine Learning and Artificial Intelligence
•  Systems Biology and Life Systems
•  Sensor Networks and Internet of Things
•  Big Data and Cloud Computing
•  Discrete Event and Hybrid Systems
•  Fault Diagnosis and Fault Tolerance
•  Instrumentation and Control Techniques
•  Load Modeling and Forecasting
•  Mechatronics Systems
•  Model Calibration and Validation
•  System Reliability, Security and Adequacy
•  Smart Grids and Distributed Generation Systems
•  Chaos, Fractals and Applications
•  Robotic Systems
•  Modeling & Control of Renewable Energy Systems
•  Modeling & Control of Power Systems
•  Modeling of Physiological & Biomedical Systems
•  Control in Education