The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Sampled-data Fuzzy Tracking Control of Nonlinear Control Systems

비선형 제어 시스템의 샘플치 퍼지 추적 제어

  • Kim, Han Sol (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Park, Jin Bae (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Joo, Young Hoon (Department of Control and Robotics Engineering, Kunsan National University)
  • Received : 2016.12.01
  • Accepted : 2016.12.05
  • Published : 2017.01.01
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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.

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Acknowledgement

Supported by : 한국연구재단

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