This conference provides an opportunity for prominent international specialists, researchers, and engineers to present and observe the latest research, results, and ideas in the areas of modelling, identification, and control. MIC 2013 aims to strengthen relations between industry, research laboratories and universities. All papers submitted to this conference will be double blind reviewed by at least two reviewers. Acceptance will be based primarily on originality and contribution.<br>SCOPE<br>The topics of interest to be covered by MIC 2013 include, but are not limited to:<br>CONTROL<br>Adaptive Control<br>Applications<br>Control Theory<br>Cybernetics<br>Fuzzy Control<br>Intelligence Control<br>Intelligent Control<br>Motion Control<br>Optimization<br>Optimization Control<br>Others<br>Process Control<br>Real Time Systems<br>Robust Control<br>Stability<br>Stochastic Control<br>Virtual Reality in Control<br>IDENTIFICATION<br>Automatic Target Identification<br>Digital Signal Processing<br>Estimation<br>Feature Extraction and Classification<br>Filtering<br>Fuzzy Systems<br>Genetic Algorithms<br>Image Processing<br>Linear and Nonlinear Time Series Analysis<br>Model Validation<br>Neural Networks<br>Others<br>Pattern Recognition<br>State Estimation<br>Statistical Analysis<br>System Identification<br>Wavelet Transform<br>MODELLING<br>3–Dimensional Modelling<br>Agent–based Modelling<br>Biomedicine and Biomechanics Modelling<br>Bond Graph Modelling<br>Dynamic Modelling<br>Environmental Modelling<br>Finite Element Methods<br>Mathematical Modelling and Simulation<br>Model Development<br>Monte Carlo Simulation<br>Numerical Methods<br>Others<br>Simulation<br>Statistical and Probabilistic Modelling<br>Stochastic Modelling<br>Time Series Analysis<br>
Abbrevation
MIC
City
Innsbruck
Country
Austria
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