Improved Neural Network and the Pontryagin's minimum Principle for Solve Fuzzy Optimal Control ‎Problems‎

Author(s):

S. Askari , S. Abbasbandy*

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

In this paper, a novel and practical approach are proposed to solve the fuzzy optimal control (FOC) using an improved multi-layer perceptron (IMLP) network along with the Pontryagin minimum principle (PMP). Here, it is worthwhile to mention that in the fuzzy Hamilton function, instead of functions of control and trajectory and the Lagrange multipliers, the approximate solutions are replaced based on the IMLP neural network, which is a Three-layer type.

Keywords:

FOC problem , Pontryagin minimum principle , IMLP networks , BFGs ‎method

Language:
English
Published:
International Journal of Industrial Mathematics, Volume:12 Issue: 3, Spring 2020
Pages:
303 to 314
https://magiran.com/p2164063  
سامانه نویسندگان
  • Abbasbandy، Saeid
    Corresponding Author (2)
    Abbasbandy, Saeid
    Professor Applied Mathematics, Imam Khomeini International University, قزوین, Iran
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