Design of H2 Controllers for Sampled-Data Systems with Input Time Delays

Kwang Sung Park, Jin Bae Park, Yoon H. Choi, Zhong Li, Nam Hyun Kim

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper presents a general framework based on lifting technique for sampled-data systems with input time delays. By analyzing the properties of operator-valued matrices of lifted systems with input time delays, an extended lifting technique is obtained. It is then shown that, with the proposed lifting technique, the complex behavior of the system can be illustrated by two simple lifted systems, which construct the extended lifted system. The extended lifted system has the same induced norm as that of the original system with an input time delay, since the proposed lifting technique is an isometric isomorphism. Through applying the proposed lifting technique to sampled-data systems with input time delays, the time-invariant discrete-time system with infinite-dimensional input and output spaces is obtained. The equivalent discrete-time system, which is derived from the extended lifted system, can satisfy the problem of H2 sampled-data control systems with input time delays. Simulation results are given to show that the proposed method can guarantee a more stable system response than the conventional H2 sampled-data controller for the sampled-data systems with the various input time delays.

Original languageEnglish
Pages (from-to)231-260
Number of pages30
JournalReal-Time Systems
Volume26
Issue number3
DOIs
Publication statusPublished - 2004 Apr

Bibliographical note

Funding Information:
This work was supported by grant no. R01-2001-00316 from the Basic Research Program of the Korea Science & Engineering Foundation. Z. Li is grateful to the support of the project ``Self-organizing Networks and Software Applications'' within the programme ``International Quality Networks'' of DAAD.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

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