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Optimal control in a fuzzy environment.

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>1992
<mark>Journal</mark>Yugoslav Journal of Operations Research
Issue number1
Number of pages11
Pages (from-to)33-43
Publication StatusPublished
<mark>Original language</mark>English


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.