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Seng, T.L., Khalid, M.B. and Yusof, R. (1999) Tuning of a Neuro-Fuzzy Controller by Genetic Algorithm. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 29, 226-236.
http://dx.doi.org/10.1109/3477.752795

has been cited by the following article:

• TITLE: Removal of Moisture Content in Paper Machine Using Soft Computing Techniques

  AUTHORS: M. Senthil Kumar, K. Mahadevan

  KEYWORDS: PID Controller, Particle Swarm Optimization, Industrial Application

  JOURNAL NAME: Circuits and Systems, Vol.7 No.9, July 27, 2016

  ABSTRACT: The choice of this investigation is to tune the proportional-integral-derivative (PID) parameters separately for controlling the moisture content in paper industry by using Particle Swarm Optimization (PSO). This paper boon a new algorithm for PID controller tuning based particle swarm optimization. PSO algorithm has recently developed as a very powerful method for real parameter optimization. This new process is proposed to combine both the algorithms to get better optimization values. The proposed algorithm tuned the PID parameters and its performance has been compared with PID algorithm. Compared to PID algorithm technique, dynamic performance requirements such as rise time settling time and peak overshoot optimal values produced by PSO. The plant model represented by the transfer function is obtained by the system identification toolbox.