Paper Info
Title
Approximating the Solution of Optimal Control Problems by Fuzzy Systems
Abstract
In this paper, the ability of fuzzy systems is used to estimate the solution of crisp optimal control problems. To solve an optimal control problem, first the well-known Euler---Lagrange conditions are obtained and then, the solution of these conditions is approximated by defining a trial solution based on fuzzy systems. The parameters of fuzzy systems are adjusted by an optimization algorithm. Numerical examples and comparisons with exact solutions reveal the capability and accuracy of proposed method.
Year
DOI
Venue
2016
10.1007/s11063-015-9440-7
Neural Processing Letters
Keywords
Field
DocType
Pontryagin minimum principle,Optimal control problem,Fuzzy system
Mathematical optimization,Optimal control,Defuzzification,Control theory,Fuzzy transportation,Optimization algorithm,Adaptive neuro fuzzy inference system,Fuzzy control system,Fuzzy number,Hamiltonian (control theory),Mathematics
Journal
Volume
Issue
ISSN
43
3
1370-4621
Citations 
PageRank 
References 
5
0.47
11
Authors
2
Name
Order
Citations
PageRank
Morteza Pakdaman1998.29
Effati Sohrab227630.31