@article{(Open Science Index):https://publications.waset.org/pdf/391,
	  title     = {Optimized Fuzzy Control by Particle Swarm Optimization Technique for Control of CSTR},
	  author    = {Saeed Vaneshani and  Hooshang Jazayeri-Rad},
	  country	= {},
	  institution	= {},
	  abstract     = {Fuzzy logic control (FLC) systems have been tested in
many technical and industrial applications as a useful modeling tool
that can handle the uncertainties and nonlinearities of modern control
systems. The main drawback of the FLC methodologies in the
industrial environment is challenging for selecting the number of
optimum tuning parameters.
In this paper, a method has been proposed for finding the optimum
membership functions of a fuzzy system using particle swarm
optimization (PSO) algorithm. A synthetic algorithm combined from
fuzzy logic control and PSO algorithm is used to design a controller
for a continuous stirred tank reactor (CSTR) with the aim of
achieving the accurate and acceptable desired results. To exhibit the
effectiveness of proposed algorithm, it is used to optimize the
Gaussian membership functions of the fuzzy model of a nonlinear
CSTR system as a case study. It is clearly proved that the optimized
membership functions (MFs) provided better performance than a
fuzzy model for the same system, when the MFs were heuristically
defined.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {5},
	  number    = {11},
	  year      = {2011},
	  pages     = {1243 - 1248},
	  ee        = {https://publications.waset.org/pdf/391},
	  url   	= {https://publications.waset.org/vol/59},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 59, 2011},
	}