شماره ركورد كنفرانس :
5134
عنوان مقاله :
An accurate approach for solving a class of fuzzy optimal control problems with nonlinear constraints
عنوان به زبان ديگر :
An accurate approach for solving a class of fuzzy optimal control problems with nonlinear constraints
پديدآورندگان :
Vahidian Kamyad Ali Ferdowsi University of Mashad Mashad, Iran , Mazarei Mohammad Mehdi Islamic Azad University, Bushehr Branch, Bushehr, Iran , Behroozpoor Ali Asghar Islamic Azad University, Bushehr Branch, Bushehr, Iran
كليدواژه :
Nonlinear Optimal control , fuzzy control , Piecewise linearization.
عنوان كنفرانس :
دومين كنفرانس بين المللي محاسبات و سامانه هاي توزيع شده
چكيده فارسي :
Fuzzy optimal control problems have been applied in many fields such as electrical engineering, medicine, economics and environments. This fact is because that many of systems are not-crisp form in their modeling equations. In this paper, a class of fuzzy optimal control problems containing a nonlinear system and linear objective function is studied and a more accurate procedure is proposed. ???? − ???????????????? and a new piecewise linearization approach are used to solve the optimization problem. At first, the fuzzy nonlinear optimal control problem is obtained and converted to a crisp nonlinear problem by applying defined ???? − ???????????? sets of fuzzy system. Then, the problem is converted to an equivalent linear system using piecewise linearization method. Finally, the accuracy and effectiveness of the proposed approach is confirmed by several numerical examples.
چكيده لاتين :
Fuzzy optimal control problems have been applied in many fields such as electrical engineering, medicine, economics and environments. This fact is because that many of systems are not-crisp form in their modeling equations. In this paper, a class of fuzzy optimal control problems containing a nonlinear system and linear objective function is studied and a more accurate procedure is proposed. ???? − ???????????????? and a new piecewise linearization approach are used to solve the optimization problem. At first, the fuzzy nonlinear optimal control problem is obtained and converted to a crisp nonlinear problem by applying defined ???? − ???????????? sets of fuzzy system. Then, the problem is converted to an equivalent linear system using piecewise linearization method. Finally, the accuracy and effectiveness of the proposed approach is confirmed by several numerical examples.
