Title : ( Linear quadratic optimal control problem with fuzzy variables via neural network )
Authors: Sohrab Effati , Amin Mansoori , mohammad eshaghnezhad ,
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Abstract
In this scientific research, a new technique to solve a linear quadratic optimal control problem with fuzzy variables is proposed. The problem by an efficient transformation reduces to a crisp problem, and the solution is obtained from the direct method. In fact, we use the approximation method with artificial neural network, and to obtain the solution, the perceptron neural network (PNN) is given. Finally, two numerical examples are presented to show the performance of the technique.
Keywords
, Optimal control problem with fuzzy variables, fuzzy linear system, perceptron neural network
@article{paperid:1079449,
author = {Effati, Sohrab and Mansoori, Amin and Eshaghnezhad, Mohammad},
title = {Linear quadratic optimal control problem with fuzzy variables via neural network},
journal = {Journal of Experimental and Theoretical Artificial Intelligence},
year = {2020},
volume = {33},
number = {2},
month = {March},
issn = {0952-813X},
pages = {283--296},
numpages = {13},
keywords = {Optimal control problem with fuzzy variables; fuzzy linear system; perceptron neural network},
}
%0 Journal Article
%T Linear quadratic optimal control problem with fuzzy variables via neural network
%A Effati, Sohrab
%A Mansoori, Amin
%A Eshaghnezhad, Mohammad
%J Journal of Experimental and Theoretical Artificial Intelligence
%@ 0952-813X
%D 2020
