Implicit Runge–Kutta Schemes for Optimal Control Problems with Evolution Equations
نویسندگان
چکیده
Abstract In this paper we discuss the use of implicit Runge–Kutta schemes for time discretization optimal control problems with evolution equations. The specialty considered discretizations is that state and adjoint are chosen such optimization commute. It well known property additional order conditions necessary. We give sufficient which class these condition automatically fulfilled. focus especially on Gauss, Radau IA, IIA, Lobatto IIIA, IIIB IIIC collocation type up to six. Furthermore, also a SDIRK (singly diagonally Runge–Kutta) method demonstrate, general methods not Numerical examples illustrate predicted convergence rates.
منابع مشابه
Integrating Differential Evolution Algorithm with Modified Hybrid GA for Solving Nonlinear Optimal Control Problems
‎Here‎, ‎we give a two phases algorithm based on integrating differential evolution (DE) algorithm with modified hybrid genetic algorithm (MHGA) for solving the associated nonlinear programming problem of a nonlinear optimal control problem‎. ‎In the first phase‎, ‎DE starts with a completely random initial population where each individual‎, ‎or solution‎...
متن کاملHaar Matrix Equations for Solving Time-Variant Linear-Quadratic Optimal Control Problems
In this paper, Haar wavelets are performed for solving continuous time-variant linear-quadratic optimal control problems. Firstly, using necessary conditions for optimality, the problem is changed into a two-boundary value problem (TBVP). Next, Haar wavelets are applied for converting the TBVP, as a system of differential equations, in to a system of matrix algebraic equations...
متن کاملImplicit-Explicit Runge-Kutta Schemes for Numerical Discretization of Optimal Control Problems
Implicit-explicit (IMEX) Runge-Kutta methods play a major rule in the numerical treatment of differential systems governed by stiff and non-stiff terms. This paper discusses order conditions and symplecticity properties of a class of IMEX Runge–Kutta methods in the context of optimal control problems. The analysis of the schemes is based on the continuous optimality system. Using suitable trans...
متن کاملAnalysis and finite element approximations for distributed optimal control problems for implicit parabolic equations
This work concerns analysis and error estimates for optimal control problems related to implicit parabolic equations. The minimization of the tracking functional subject to implicit parabolic equations is examined. Existence of an optimal solution is proved and an optimality system of equations is derived. Semi-discrete (in space) error estimates for the finite element approximations of the opt...
متن کاملintegrating differential evolution algorithm with modified hybrid ga for solving nonlinear optimal control problems
here, we give a two phases algorithm based on integrating differential evolution (de) algorithm with modified hybrid genetic algorithm (mhga) for solving the associated nonlinear programming problem of a nonlinear optimal control problem. in the first phase, de starts with a completely random initial population where each individual, or solution, is a random matrix of control input v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational methods in applied mathematics
سال: 2023
ISSN: ['1609-4840', '1609-9389']
DOI: https://doi.org/10.1515/cmam-2022-0097