Fuzzy triangle number in non symmetrical quadratic linear control.

التفاصيل البيبلوغرافية
العنوان: Fuzzy triangle number in non symmetrical quadratic linear control.
المؤلفون: Larasati, Lisayana Mutiara, Hsm, Zani Anjani Rafsanjani, Adi, Yudi Ari, Surono, Sugiyarto
المصدر: AIP Conference Proceedings; 2023, Vol. 2733 Issue 1, p1-7, 7p
مصطلحات موضوعية: FUZZY numbers, NEWTON-Raphson method, QUADRATIC programming, LYAPUNOV functions, QUADRATIC forms
مستخلص: Control optimization is one of the mathematical roles that are often encountered in everyday life. The optimization of control in this research is in the form of linear quadratic with one control. The first step in analyzing the solution of complex problems is to transform the linear quadratic problem into a fuzzy triangular number. Furthermore, to produce a simpler quadratic programming solved numerically by the Lagrange method so that the optimal function is produced. This study aims to find the optimal solution of fuzzy linear quadratic control optimization problem with non-symmetrical matrix constraints. In order to make it easier to get the final result in the form of an optimal solution of the Lyapunov function, it is solved numerically using the Newton method and the Secant method. A numerical example we provided to show the perfomance of those method. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:0094243X
DOI:10.1063/5.0140180