Linear time-invariant system reduction using a mixed methods approach

By Afzal Sikander, Rajendra Prasad. 2015

141 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Numerical Analysis, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/503a1ddd208fa4a2ae14b66f73e3b05ed3ab7e52

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 Numerical Analysis

1. Arvind Kumar Prajapati
2. Rajendra Prasad

In Statistical and Nonlinear Physics

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): “Sikander and Prasad [58] 482, 964s + 194, 480 34, 194.”
• Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (2018, methodology): “From this table, it is also clear that the proposed method has least error indices compared to the recently proposed methods [22,24,25].”
• Order Reduction of Linear Dynamic Systems by Improved Routh Approximation Method (2019, methodology): “Stability equation and factor division method [74] 0:007sþ 156 909:5238s2 þ 1441sþ 745 0.”