A New Technique For Reduced-Order Modelling of Linear Time-Invariant System

By Afzal Sikander, Rajendra Prasad. 2017

88 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ed254f2c8c66dac3c5887c5575b4fd21a74de352

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Arvind Kumar Prajapati
2. Rajendra Prasad
3. C. B. Vishwakarma
4. Rajendra Prasad

In Statistical and Nonlinear Physics

1. Arvind Kumar Prajapati
2. Rajendra Prasad
3. C. B. Vishwakarma
4. Rajendra Prasad

In Statistics and Probability

1. Arvind Kumar Prajapati
2. Rajendra Prasad
3. C. B. Vishwakarma
4. Rajendra Prasad

Citations in the corpus

• Model Reduction Using the Balanced Truncation Method and the Padé Approximation Method (2020, methodology): “For showing the effectiveness of the proposed method and comparison with other existing model diminution algorithms, integral square errors (ISE) of the reduced models are calculated and it is defined as [49]”
• Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (2018, background): “are calculated and are defined as [51], [52]: ISE = ∫ ∞”