Genetic Algorithm based Approximants for Discrete Time Systems: A Computer-Aided Approach

Author

Prajapati, Natthoo Lal ; Chandra, Dinesh

Author_Institution

Dept. of Electr. Eng., Motilal Nehru Nat. Inst. of Technol., Allahabad

fYear

2006

fDate

4-7 Dec. 2006

Firstpage

1923

Lastpage

1926

Abstract

A genetic algorithm (GA) based method to derive a reduced order (rth order) model for a given stable discrete-time system is presented. In this method not only stability is preserved and the first r time moments/Markov parameters are fully retained but also the errors between a set of subsequent time moments/Markov parameters of the system and those of the model are minimized. Furthermore, the operations of the proposed method are carried out entirely in z domain

Keywords

CAD; Markov processes; Routh methods; approximation theory; discrete time systems; genetic algorithms; reduced order systems; Markov parameters; Routh-Pade approximants; computer-aided approach; discrete time systems; genetic algorithm; model reduction; reduced order model; time moments; Chromium; Discrete time systems; Frequency; Genetic algorithms; Optimization methods; Polynomials; Reduced order systems; Sampling methods; Stability; Time factors; Genetic Algorithm (GA); Routh-Pade approximants; discrete-time systems; model reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0387-1

Type

conf

DOI

10.1109/APCCAS.2006.342236

Filename

4145793