Earticle

초록

영어

In the control theory, a system has one or more input and output signals. With the development of control theory, a modern control system is carried out in the state space, and can process multi-input and multi-output (MIMO) systems. According to the complexity of a control system, a control system may have been described by a high order differential equation or transfer function, thus control system analysis and design becomes more difficult. Therefore a study to obtain a low order model with the dynamic characteristics similar to a high order system is very meaningful. In this paper, an approximation algorithm for multivariable system based on the generalized block pulse transform is presented. To solve the functional differential equation and transfer function, the generalized block pulse function is used. The algorithm adopted in this paper has shown that computational results are more accurate and convenient rather than conventional block pulse transform.

목차

Abstract
 1. Introduction
 2. Conventional and Generalized Block Pulse Function
  2.1. Conventional Block Pulse Function
  2.2. Generalized Block Pulse Function and Operational Matrix
 3. Reduction Algorithm using Generalized Block Pulse Transform
 4. Simulations
  4.1. Example 1
  4.2. Example 2
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Joon-Hoon Park [ Dept. of Control & Instrumentation Eng., Korea National University of Transportation, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605