Reducing model ordering using Improved Modified Routh Approximation Method

The analysis and synthesis of higher order systems are difficult and generally not desirable on economic and computational considerations. Thus, it is necessary to obtain a lower order system so tit at, it maintains the characteristics of the original system The analysis of a high- order system by a low order is of significant importance in controller design and control system analysis. The IMRA have advantages to retain the initial Markov parameters and the initial moments of the original system in the reduced model to construct a more correct initial transient response. With the help of IMRA method the coefficient of reduced model is also altered and impulse energy of the original model is also preserved in the reduced model.