Title :
SISO method using improved modified pole clustering and genetic algorithm
Author :
Singh, Jay ; Vishwakarma, C.B. ; Chatterjee, Kalyan
Author_Institution :
Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India
Abstract :
To reduce the order of the large-scale dynamic systems, a method has been proposed by merging improved modified pole clustering and Genetic Algorithm. Reduced order denominator and numerator polynomial is obtained via improved modified pole clustering technique and Genetic Algorithm respectively. The method produces `k´ number of reduced order systems for kth - order reduction. A numerical example has been taken from the literature to show the viability of the proposed mixed method and also compared with existing order reduction methods.
Keywords :
genetic algorithms; large-scale systems; pattern clustering; poles and zeros; polynomials; reduced order systems; SISO method; genetic algorithm; improved modified pole clustering technique; kth-order reduction method; large-scale dynamic systems; numerator polynomial; reduced order denominator; reduced order systems; Biological cells; Computational modeling; Computers; Electrical engineering; Genetic algorithms; Mathematical model; Polynomials; Genetic Algorithm; Improved modified pole clustering; Model order reduction; Stability; Transfer function;
Conference_Titel :
Energy Economics and Environment (ICEEE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4673-7491-0
DOI :
10.1109/EnergyEconomics.2015.7235117