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 2014 aims to strengthen relations between industry, research laboratories and universities.<br>MODELLING<br>Model Development<br>Time Series Analysis<br>Simulation<br>Load Modelling and Forecasting<br>Numerical methods<br>Statistical and Probabilistic Modelling<br>Biomedicine and Biomechanics Modelling<br>Biological Systems Modelling<br>Static and Dynamic Systems Modelling<br>Power Systems Modelling<br>Modelling of Renewable Energy Systems<br>Modelling of Smart Grids<br>Environmental Modelling<br>Bond Graph Modelling<br>Process Modelling<br>Data Driven Modelling<br>Mechatronic Systems Modelling<br>Robotics<br>IDENTIFICATION<br>Systems Identifications<br>Filtering<br>Model Validation and Calibration<br>Statistical Analysis<br>Biological Systems Identification<br>Estimation<br>Linear and Nonlinear Time Series<br>State Estimation<br>Mechatronic Systems<br>Robotics<br>CONTROL<br>Adaptive Control<br>Intelligent Control<br>Robust Control<br>Optimization Techniques<br>Stability<br>Predictive Control<br>Networked Control Systems<br>Control in Education<br>Control of Renewable Energy Systems<br>Control Theory<br>Process Control<br>Stochastic Control<br>Real Time Systems<br>Virtual Reality in Control<br>Data Driven Control<br>Non Linear Control Systems<br>Power Systems<br>Biological Systems Control<br>Mechatronic Systems<br>Robotics<br>
Abbrevation
MIC
City
Innsbruck
Country
Austria
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