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...)
