SYSID 2027 - The 21st IFAC Symposium on System Identification

SYSID 2027 - The 21st IFAC Symposium on System Identification is dedicated to major aspects of experimental modelling, system identification, adaptive control and signal processing, including topics such as:

• Identification of nonlinear, linear, multivariable, time-varying, distributed systems and hybrid
• Identifiability
• Linear and nonlinear time series analysis
• Black-box modeling (support vector machines, neural networks and Kriging...)
• State estimation and parameter tracking
• Estimation from spatio-temporal data
• Sequential Monte Carlo methods, including particle filtering
• Robustness issues in identification
• Parameter estimation and inverse modeling
• Learning, data mining and Bayesian approaches
• Identification for control, adaptive control and data-based controller tuning
• Modeling and identification of quantized systems
• Experiment design
• Statistical analysis and uncertainty characterization
• Monitoring and fault detection
• Model validation
• Teaching identification
• Applications (transportation, physical measurements, aerospace, telecommunications, process control, automotive, robotics, motion control, modal analysis and structural health monitoring, econometrics, ecosystems, bioengineering and medical systems, information networks,d energy...)