Reducing Model Ordering using Routh Approximation Method
نویسنده
چکیده
The Higher order systems are frequently too arduous to be used in real time applications. Model order reduction was developed in the areas of systems and control theory, which studied properties of dynamical systems in application for reducing their complexity, while preserving their input-output behavior as much as possible. Routh approximation method (RAM) is one of the most elegant methods of model reduction which preserves the stability of original system in reduced system. Keywords-Model order reduction, routh approximation method,
منابع مشابه
Reduction of Linear Time-Invariant Systems Using Routh-Approximation and PSO
Order reduction of linear-time invariant systems employing two methods; one using the advantages of Routh approximation and other by an evolutionary technique is presented in this paper. In Routh approximation method the denominator of the reduced order model is obtained using Routh approximation while the numerator of the reduced order model is determined using the indirect approach of retaini...
متن کاملReduced Order Model of Single Machine Infinite Bus Power System Using Stability Equation Method and Self-adaptive Bat Algorithm
In this paper, a largeorder system is reduced by using the self adaptive bat algorithm (SABA) to a reduced-order approximation. The numerator coefficients of a desired reduced-order system are optimized based on integral square error minimization as an objective function pertaining to a unit-step as input. The denominator of the reduced order model is solved by stability equation method. The ef...
متن کاملDeriving Fuzzy Inequalities Using Discrete Approximation of Fuzzy Numbers
Most of the researches in the domain of fuzzy number comparisons serve the fuzzy number ordering purpose. For making a comparison between two fuzzy numbers, beyond the determination of their order, it is needed to derive the magnitude of their order. In line with this idea, the concept of inequality is no longer crisp however it becomes fuzzy in the sense of representing partial belonging or de...
متن کاملEffective Preconditioning through Ordering Interleaved with Incomplete Factorization
Consider the solution of a sparse linear system Ax = b when the matrix A is symmetric and positive definite. A typical iterative solver is obtained by using the method of Conjugate Gradients (CG) [15] preconditioned with an incomplete Cholesky (IC) factor L̂ [4]. The latter is an approximation to the (complete) Cholesky factor L, where A = LL . Consequently, the process of computing L̂ relies to ...
متن کاملGA based Internal Model Controller Design for Load Frequency Control in Power System via Reduced Order Model
In the conventional two degree freedom (TDF)-internal model controller (IMC) design, obtaining suitable value of tuning parameter is much more complex and difficult. In this paper, the approach of genetic algorithm (GA) is proposed to obtain optimized value of tuning parameter used in TDF-IMC controller design. For TDF-IMC controller design, 2 nd order reduced-model is obtained using the Routh ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014