Scope

The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of application areas.

To enhance the applications and industrial perspective of the symposium, participation by authors from industry is particularly encouraged.

It is the intention of the organizers to promote SYSID 2012 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include:

• Identifiability;
• Identification of linear, nonlinear, time-varying, multivariable, hybrid and distributed systems;
• Black-box modeling (neural networks, support vector machines, Kriging...);
• Linear and nonlinear time series analysis;
• Estimation from spatio-temporal data;
• State estimation and parameter tracking;
• Robustness issues in identification;
• Sequential Monte Carlo methods, including particle filtering;
• Learning, data mining and Bayesian approaches;
• Parameter estimation and inverse modeling;
• Modeling and identification of quantized systems;
• Identification for control, adaptive control and data-based controller tuning;
• Statistical analysis and uncertainty characterization;
• Experiment design;
• Model validation;
• Monitoring and fault detection;
• Applications (including but not limited to physical measurements, transportation, telecommunications, aerospace, automotive, process control, motion control, robotics, econometrics, modal analysis and structural health monitoring, bioengineering and medical systems, ecosystems, energy and information networks);
• Teaching identification.