Home > Research > Publications & Outputs > Optimal control in a fuzzy environment.

Research

Keywords

View graph of relations

Optimal control in a fuzzy environment.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Optimal control in a fuzzy environment. / Filev, Dimitar; Angelov, Plamen.
In: Yugoslav Journal of Operations Research, Vol. 2, No. 1, 1992, p. 33-43.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Filev, D & Angelov, P 1992, 'Optimal control in a fuzzy environment.', Yugoslav Journal of Operations Research, vol. 2, no. 1, pp. 33-43.

APA

Filev, D., & Angelov, P. (1992). Optimal control in a fuzzy environment. Yugoslav Journal of Operations Research, 2(1), 33-43.

Vancouver

Filev D, Angelov P. Optimal control in a fuzzy environment. Yugoslav Journal of Operations Research. 1992;2(1):33-43.

Author

Filev, Dimitar ; Angelov, Plamen. / Optimal control in a fuzzy environment. In: Yugoslav Journal of Operations Research. 1992 ; Vol. 2, No. 1. pp. 33-43.

Bibtex

@article{e88a5d3e1b894989bb6552c2c102ee16,
title = "Optimal control in a fuzzy environment.",
abstract = "More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are used to represent the impreciseness and non-reproducibility of the experimental data and subjectivity of the cost function(s) definition. The problem is transformed via Bellman-Zadeh's approach to the crisp (nonfuzzy) optimal control problem. Illustrative numerical examples are presented.",
keywords = "fuzzy mathematical programming, fuzzy optimal control, fuzzy decision making",
author = "Dimitar Filev and Plamen Angelov",
year = "1992",
language = "English",
volume = "2",
pages = "33--43",
journal = "Yugoslav Journal of Operations Research",
issn = "0354-0243",
publisher = "University of Belgrade",
number = "1",

}

RIS

TY - JOUR

T1 - Optimal control in a fuzzy environment.

AU - Filev, Dimitar

AU - Angelov, Plamen

PY - 1992

Y1 - 1992

N2 - More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are used to represent the impreciseness and non-reproducibility of the experimental data and subjectivity of the cost function(s) definition. The problem is transformed via Bellman-Zadeh's approach to the crisp (nonfuzzy) optimal control problem. Illustrative numerical examples are presented.

AB - More realistic formulations of optimal control problems are proposed in the paper. Fuzzy seta are used to represent the impreciseness and non-reproducibility of the experimental data and subjectivity of the cost function(s) definition. The problem is transformed via Bellman-Zadeh's approach to the crisp (nonfuzzy) optimal control problem. Illustrative numerical examples are presented.

KW - fuzzy mathematical programming

KW - fuzzy optimal control

KW - fuzzy decision making

M3 - Journal article

VL - 2

SP - 33

EP - 43

JO - Yugoslav Journal of Operations Research

JF - Yugoslav Journal of Operations Research

SN - 0354-0243

IS - 1

ER -