Enhanced symbolic factorization for low order LFT-modelling and improved -analysis for RCAM

Kurzfassung

The paper describes some recent enhancements of symbolic factorization techniques for multivariate Laurent polynomial matrices, which are very effective as a preprocessing step for generating Linear Fractional Representations (LFRs) of low order. The symbolic methods are applied to realize an LFR of almost minimal order for a very complex linear parametric representation of a Research Civil Aircraft Model (RCAM). The -analysis and skew- -analysis results obtained with the very accurate and low order LFR coincide with the robust stability analysis results obtained from a computational demanding optimizationbased worst-case search.