Intelligent digital control for nonlinear systems with multirate sampling

Do Wan Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

This paper studies an intelligent digital control for nonlinear systems with multirate sampling. It is worth noting that the multirate control design is addressed for a given nonlinear system represented by Takagi-Sugeno (T-S) fuzzy models. The main features of the proposed method are that it is provided that the sufficient conditions for stabilization of the discrete-time T-S fuzzy system derived by the fast discretization method in the sense of Lyapunov stability criterion, which is can be formulated in the linear matrix inequalities (LMIs).

Original languageEnglish
Pages (from-to)886-889
Number of pages4
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3613
Issue numberPART I
Publication statusPublished - 2005 Oct 27

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Digital Control
Intelligent Control
Nonlinear systems
Nonlinear Systems
Sampling
Takagi-Sugeno Fuzzy Systems
Takagi-Sugeno Fuzzy Model
Discretization Method
Lyapunov Stability
Stability criteria
Fuzzy systems
Linear matrix inequalities
Stability Criteria
Control Design
Matrix Inequality
Linear Inequalities
Discrete-time
Stabilization
Sufficient Conditions

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

Cite this

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Intelligent digital control for nonlinear systems with multirate sampling. / Kim, Do Wan; Park, Jin Bae; Joo, Young Hoon.

In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 3613, No. PART I, 27.10.2005, p. 886-889.

Research output: Contribution to journalConference article

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