Sampled-data fuzzy tracking control of nonlinear control systems

Han Sol Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a method of designing the sampled-data tracking controller for nonlinear systems expressed by the Takagi-Sugeno (T-S) fuzzy model. A sufficient condition that asymptotically stabilizes the state error between the linear reference model and the T-S fuzzy model is derived in terms of linear matrix inequalities. To this end, error dynamics are constructed, and the exact discretization method and the Lyapunov stability theory are employed in this paper. Finally, we validate the proposed method through the simulation example.

Original languageEnglish
Pages (from-to)159-164
Number of pages6
JournalTransactions of the Korean Institute of Electrical Engineers
Volume66
Issue number1
DOIs
Publication statusPublished - 2017 Jan 1

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Nonlinear control systems
Linear matrix inequalities
Nonlinear systems
Controllers

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Sampled-data fuzzy tracking control of nonlinear control systems. / Kim, Han Sol; Park, Jin Bae; Joo, Young Hoon.

In: Transactions of the Korean Institute of Electrical Engineers, Vol. 66, No. 1, 01.01.2017, p. 159-164.

Research output: Contribution to journalArticle

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