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Linear analysis and synthesis methods for robust control

The use of advanced linear system analysis and synthesis techniques to solve challenging control applications in the aerospace and robotics fields requires efficient and numerically reliable computational methods implemented in high-quality robust numerical control software. Our developments of new control-relevant algorithms rely on the latest achievements in the numerical analysis field and are based on a wide cooperation with internationally reputed numeric experts. Our developments of robust control software resulted in several powerful collections of software tools which either represent efficient and numerically reliable alternatives to existing control software or provide advanced complementary functionality as a result of pioneering research in numerical algorithm development and implementation. The main domains covered and the associated tools are:

 

 

Computational Methods for Control


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LFT-Based Uncertainty Modelling


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Descriptor Systems


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Periodic Systems


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Periodic Toolbox


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