arXiv · 1904.06947
New sweep algorithm for solving a continuous linear-quadratic optimization problem with unseptable boundary conditions
Abstract
A new algorithm for solving the solution of the linear-quadratic optimization problem (LQP) with unseparated boundary conditions in the continuous case is given. Using the properties of symmetry of the corresponding Hamiltonian matrix, the Euler-Lagrange equations, it is shown that linear algebraic equations for determining the missing initial data of the system being solved have a symmetric principal matrix. The results are illustrated by the example of LQP optimization (stationary case) with minimal control actions.
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Fikret Aliev, M. Mutallimov. 2019-04-15. New sweep algorithm for solving a continuous linear-quadratic optimization problem with unseptable boundary conditions. https://arxiv.org/abs/1904.06947
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