Real interpolation method in Automatic Control Systems self-adjustment problem

Valery Goncharov, Vladislav Alexandrovich Rudnitskij

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Practice demonstrates that most of existing methods and techniques of adjustment of the automatic control systems cannot provide the appropriate quality of the systems performing. That is why nowadays main attention is paid to adaptive methods and algorithms. In this paper, the Real Interpolation Method is offered for creation of adaptive Automatic Control Systems. It is based on use of a special case of the Laplace transformation, when the complex variable p = δ + jω comes to real part 5. Due to this approach the number of operations is decreased more than twice in comparison with the frequency domain methods and it considerably simplifies algorithms of self-adjustment of Automatic Control Systems.

Original languageEnglish
Pages (from-to)33-37
Number of pages5
JournalSystems Science
Volume36
Issue number3
Publication statusPublished - 2010

Fingerprint

Real Interpolation
Automatic Control
Interpolation Method
Interpolation
Adjustment
Control System
Control systems
Frequency Domain Method
Laplace Transformation
Complex Variables
Adaptive Method
Adaptive Algorithm
Adaptive Control
Simplify
Demonstrate

Keywords

  • Adaptive control
  • Adaptive systems
  • Real interpolation method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Modelling and Simulation

Cite this

Real interpolation method in Automatic Control Systems self-adjustment problem. / Goncharov, Valery; Rudnitskij , Vladislav Alexandrovich.

In: Systems Science, Vol. 36, No. 3, 2010, p. 33-37.

Research output: Contribution to journalArticle

Goncharov, Valery ; Rudnitskij , Vladislav Alexandrovich. / Real interpolation method in Automatic Control Systems self-adjustment problem. In: Systems Science. 2010 ; Vol. 36, No. 3. pp. 33-37.
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