Model order reduction of discrete-time parameter-varying systems via bilinearization and low-rank Gramian approximation

Key Points

• Reduction in complexity of parameter-varying systems is essential for efficient modeling.
• The method demonstrates strong performance with low-rank approximations of the Gramian matrix.
• Utilization of bilinearization aids in capturing system dynamics effectively.
• This approach highlights the balance between model accuracy and computational efficiency.