
AbstractIn this paper, we extendthe structure-preserving interpolatory model reduction framework, originally developed for linear systems, to structured bilinear control systems. Specifically, we give explicit construction formulae for the model reduction bases to satisfy different types of interpolation conditions. First, we establish the analysis for transfer function interpolation for single-input single-output structured bilinear systems. Then, we extend these results to the case of multi-input multi-output structured bilinear systems by matrix interpolation. The effectiveness of our structure-preserving approach is illustrated by means of various numerical examples.
Model reduction, Numerical Analysis (math.NA), Systems and Control (eess.SY), Dynamical Systems (math.DS), Bilinear systems, Electrical Engineering and Systems Science - Systems and Control, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Numerical Analysis, Mathematics - Dynamical Systems, Mathematics - Optimization and Control, Structure-preserving approximation, Structured interpolation
Model reduction, Numerical Analysis (math.NA), Systems and Control (eess.SY), Dynamical Systems (math.DS), Bilinear systems, Electrical Engineering and Systems Science - Systems and Control, Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Numerical Analysis, Mathematics - Dynamical Systems, Mathematics - Optimization and Control, Structure-preserving approximation, Structured interpolation
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