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

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ASKARI S.; ABBASBANDY S.

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Paper Information

Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS Year:2020 | Volume:12 | Issue:3 Page(s): 303-314

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Title

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

Author(s)

ASKARI S. | ABBASBANDY S. | Issue Writer Certificate

Keywords

FOC problem

Pontryagin minimum principle

IMLP networks

BFGs method

Abstract

In this paper, a novel and practical approach is proposed to solve the fuzzy optimal control (FOC) using an improved multi-layer perceptron (IMLP) network along with the Pontryagin minimum principle (PMP).

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APA: Copy

ASKARI, S., & ABBASBANDY, S.. (2020). Improved Neural Network and the Pontryagin's minimum Principle for Solve Fuzzy Optimal Control Problems. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 12(3), 303-314. SID. https://sid.ir/paper/756262/en

Vancouver: Copy

ASKARI S., ABBASBANDY S.. Improved Neural Network and the Pontryagin's minimum Principle for Solve Fuzzy Optimal Control Problems. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2020;12(3):303-314. Available from: https://sid.ir/paper/756262/en

IEEE: Copy

S. ASKARI, and S. ABBASBANDY, “Improved Neural Network and the Pontryagin's minimum Principle for Solve Fuzzy Optimal Control Problems,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 12, no. 3, pp. 303–314, 2020, [Online]. Available: https://sid.ir/paper/756262/en

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