DeepAI AI Chat
Log In Sign Up

Discrete Adjoint Implicit Peer Methods in Optimal Control

02/27/2020
by   Jens Lang, et al.
Philipps-Universität Marburg
Technische Universität Darmstadt
0

It is well known that in the first-discretize-then-optimize approach in the control of ordinary differential equations the adjoint method may converge under additional order conditions only. For Peer two-step methods we derive such adjoint order conditions and pay special attention to the boundary steps. For s-stage methods, we prove convergence of order s for the state variables if the adjoint method satisfies the conditions for order s-1, at least. We remove some bottlenecks at the boundaries encountered in an earlier paper of the first author et al. [J. Comput. Appl. Math., 262:73-86, 2014] and discuss the construction of 3-stage methods for the order pair (3,2) in detail including some matrix background for the combined forward and adjoint order conditions. The impact of nodes having equal differences is highlighted. It turns out that the most attractive methods are related to BDF. Three 3-stage methods are constructed which show the expected orders in numerical tests.

READ FULL TEXT

page 1

page 2

page 3

page 4

10/23/2019

Explicit stabilized integrators for stiff optimal control problems

Explicit stabilized methods are an efficient alternative to implicit sch...
06/12/2022

Explicit exponential Runge-Kutta methods for semilinear integro-differential equations

The aim of this paper is to construct and analyze explicit exponential R...
09/28/2022

A Stiff MOL Boundary Control Problem for the 1D Heat Equation with Exact Discrete Solution

Method-of-lines discretizations are demanding test problems for stiff in...
04/07/2022

Algebraic Structure of the Weak Stage Order Conditions for Runge-Kutta Methods

Runge-Kutta (RK) methods may exhibit order reduction when applied to sti...
01/23/2023

Eight-stage pseudo-symplectic Runge-Kutta methods of order (4, 8)

Using simplifying assumptions that are related to the time reversal symm...