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Fuzzy filter for nonlinear sampled-data systems: Intelligent digital redesign approach

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  • Control Theory and Applications
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Abstract

This paper presents a fuzzy filter design method for nonlinear sampled-data systems using an intelligent digital redesign (IDR) technique. Based on a Takagi–Sugeno (T–S) fuzzy model, discretized closed-loop systems with pre-designed analog fuzzy and digital fuzzy filters are presented. An IDR problem is given to guarantee both state-matching condition and asymptotic stability. Sufficient conditions for solving the IDR problem are proposed and are derived in terms of linear matrix inequalities (LMIs). Finally, a simulation example is given to show the effectiveness of the proposed method.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea

    Ho Jun Kim & Jin Bae Park

  2. Department of Control and Robot Engineering, Gunsan National University, Gunsan, Chonbuk, 573-701, Korea

    Young Hoon Joo

Authors
  1. Ho Jun Kim
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  2. Jin Bae Park
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  3. Young Hoon Joo
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Corresponding author

Correspondence to Jin Bae Park.

Additional information

Recommended by Associate Editor Do Wan Kim under the direction of Editor Duk-Sun Shim. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST, MSIP) (NRF-2015R1A2A2A05001610, NRF-2015R1A2A2A01007545) and the Human Resources Development program (No. 20144030200590) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Knowledge Economy.

Ho Jun Kim received the B.S. and M.S. degrees in electrical engineering from Yonsei University, Seoul, Korea, in 2011 and 2013, respectively. Since 2013, he has been pursuing the Ph.D. degree with Yonsei University. His current research interests include large-scale systems, sampled-data systems, decentralized filters, digital redesign, and fuzzy systems.

JinBae Park received the B.E. degree in Electrical Engineering from Yonsei University, Seoul, Korea, and the M.S. and Ph.D. degrees in Electrical Engineering from Kansas State University, Manhattan, in 1977, 1985, and 1990, respectively. Since 1992, he has been with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, where he is currently a professor. His research interests include robust control and filtering, nonlinear control, drone, mobile robot, fuzzy logic control, neural networks, and genetic algorithms. He served as the Editor-in-Chief for the Intelligent Journal of Control, Automation, and Systems (IJCAS) (2006-2010), the President for the Institute of Control, Robot, and Systems Engineers (ICROS) (2013), and the Senior Vice-President for Yonsei University(2015-2016).

Young Hoon Joo received his B.S., M.S., and Ph.D. degrees in electrical engineering from Yonsei University, Seoul, Korea, in 1982, 1984, and 1995, respectively.

He worked with Samsung Electronics Company, Seoul, Korea, from 1986 to 1995, as a project manager. He was with the University of Houston, Houston, TX, from 1998 to 1999, as a visiting professor in the Department of Electrical and Computer Engineering. He is currently a professor in the Department of Control and Robotics Engineering, Gunsan National University, Gunsan, Korea. His major interest is mainly in the field of intelligent robot, intelligent control, human-robot interaction, robot vision, and wind farm control. He served as President for Korea Institute of Intelligent Systems (KIIS) (2008-2009) and is serving as Editor-in-Chief for the International Journal of Control, Automation, and Systems (IJCAS) (2014-present) and the Vice-President for the Korean Institute of Electrical Engineers (KIEE) (2016-present) and the Vice-President for the Institute of Control, Robotics, and Systems (ICROS) (2016-present).

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Kim, H.J., Park, J.B. & Joo, Y.H. Fuzzy filter for nonlinear sampled-data systems: Intelligent digital redesign approach. Int. J. Control Autom. Syst. 15, 603–610 (2017). https://doi.org/10.1007/s12555-015-0437-9

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  • DOI: https://doi.org/10.1007/s12555-015-0437-9

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