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New time-varying fuzzy sets based on a PSO midpoint of the universe of discourse

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Abstract

The paper presents a robust parallel distributed compensation (PDC) fuzzy controller for a nonlinear and certain system in continuous time described by the Takagi-Sugeno (T-S) fuzzy model. This controller is based on a new type of time-varying fuzzy sets (TVFS). These fuzzy sets are characterized by displacement of the kernels to the right or left of the universe of discourse, and they are directed by a well-defined criterion. In this work, we only focused on the movement of midpoint of the universe. The movements of this midpoint are optimized by particle swarm optimization (PSO) approach.

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Authors and Affiliations

  1. Automatic and Robotics Laboratory, Department of Electronics, University of Constantine 1, Constantine, 25000, Algeria

    Ziani Salim

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  1. Ziani Salim
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Correspondence to Ziani Salim.

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Recommended by Associate Editor Chandrasekhar Kambhampati

Ziani Salim received the B. Sc., M. Sc. and Ph.D. degrees in control system from the University of Constantine, Algeria in 1996, 2004 and 2010 respectively. Currently, he is a professor in automatic control, Department of Electronics University of Constantine1-Constantine, Algeria. He is a member of Automatic and Robotics Laboratory (LARC) University of Constantine. Since 2011, he is responsible of the specialty in the same department. He is the founder of the International Conference on Electrical Engineering and Control Applications (ICEECA).

His research interests include automatic control (optimization Problem, robust control, adaptive control, fuzzy sets and fuzzy systems, predictive control), embedded system (field programmable gate array (FPGA) & very high description language (VHDL) applications, microcontroller and arduino), the programming of the siemens automate and supervisory control and data acquisition (SCADA) (Step7&WinCC).

ORCID iD: 0000-0001-9176-9533

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Salim, Z. New time-varying fuzzy sets based on a PSO midpoint of the universe of discourse. Int. J. Autom. Comput. 13, 392–400 (2016). https://doi.org/10.1007/s11633-016-0988-0

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  • DOI: https://doi.org/10.1007/s11633-016-0988-0

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