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Simplification of models with uncertainty Lennart Andersson, Lund Institute of Technology, Sweden, Department of Automatic Control Wednesday, November 10, 199911:00 AM to 12:00 PM Steele 102 Mathematical models are frequently used in control engineering for analysis, simulation, and design of control systems. Many of these models are accurate but may for some tasks be too complex. In such situations the model needs to be simplified to a suitable level of accuracy and complexity. There are many simplification methods available for models with known parameters and dynamics. However, for models with uncertainty, which have gained a lot of interest during the last decades, much remains to be done. |
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