A new model reduction technique for linear time-invariant systems is proposed. A new method that reduces the order of large-scale systems by integrating singular perturbation with specified frequency domain balanced structure is proposed. Considering a frequency range at which the system actually operates guarantees a good approximation of the original full order model. Simulation experiments for model reduction of several large-scale systems demonstrate the effectiveness of the proposed technique.

Issue Section:
Technical Papers
Keywords:
reduced order systems, large-scale systems, discrete systems, linear systems, singularly perturbed systems, Model Reduction, Control Systems, Large-Scale Systems, Frequency Domain
Topics:
Discrete time systems, Errors, Reduced order systems, Theorems (Mathematics), Time-invariant systems, Approximation, Control systems, Discrete systems, Linear systems, Simulation experiments
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