Sampled-data fuzzy tracking control of nonlinear control systems

Han Sol Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review


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
Issue number1
Publication statusPublished - 2017 Jan

Bibliographical note

Publisher Copyright:
Copyright © The Korean Institute of Electrical Engineers.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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