The 29th IASTED International Conference on
Modelling, Identification and Control
MIC 2010

February 15 – 17, 2010
Innsbruck, Austria

Past Conference Information

The Modelling, Identification and Control 2010 conference in Innsbruck, Austria has ended.

Conference Proceedings

The Conference Proceedings are available for purchase on the ACTA Press website:

Conference Chair

Prof. Katalin Hangos
,
Conference Chair Portrait

Plenary Speaker

"Novel Sensors, New Estimation Algorithms and Advanced Controls: Solutions for Improving Highway Vehicle Safety and Mobility"

Prof. Rajesh Rajamani
University of Minnesota, USA
Plenary Speaker Portrait

Best Paper Award

The International Program Committee will nominate papers based on originality and scientific contribution for the Best Paper Award. An enhanced and expanded version of the best paper will be published in the International Journal of Modelling and Simulation or the International Journal of Control and Intelligent Systems.

Scope

The topics of interest covered by MIC 2010 included, but were not limited to:

CONTROL

  • Adaptive Control
  • Computer Control
  • Control Theory
  • Control using Neural Networks
  • Discrete Events
  • Distributed Parameter Control Systems
  • Fuzzy Control
  • Intelligent Control
  • Linear Control
  • Non-Linear Control
  • Optimization
  • PID Control
  • Predictive Control
  • Process Control
  • Robot Control
  • Robust Control
  • Stability
  • Stochastic Control
  • Variable Structure Control

IDENTIFICATION

  • Estimation
  • Filtering
  • Non-Parametric Identification
  • Parametric Identification
  • Structural Identification
  • Validation

MODELLING

  • 3-Dimensional Modelling
  • Bond Graph Modelling
  • Continuous and Discrete Methodology
  • Energy and Power Systems Modelling
  • Environmental Modelling
  • Finite Element Modelling
  • Mechanical Modelling
  • Model Development
  • Modelling of Robots and Mechatronic Devices
  • Multi-Paradigm Modelling
  • Numerical Methods
  • Performance Modelling
  • Simulation
  • Statistical and Probabilistic Modelling
  • System Theory
  • Time Series Analysis