Variable-Stepsize Implicit Peer Triplets in ODE Constrained Optimal Control
Jens Lang, Bernhard A. Schmitt

TL;DR
This paper develops and analyzes super-convergent implicit Peer two-step methods with variable stepsizes for ODE-constrained optimal control, ensuring high order accuracy and stability across varying time scales.
Contribution
It introduces upgraded variable-stepsize implicit Peer triplets with new order conditions, and proves their convergence and practical effectiveness in optimal control problems.
Findings
Achieved super-convergence for variable stepsize Peer methods.
Constructed 4-stage Peer triplets with specific order pairs.
Numerical tests confirm the theoretical order of convergence.
Abstract
This paper is concerned with the theory, construction and application of implicit Peer two-step methods that are super-convergent for variable stepsizes, i.e., preserve their classical order achieved for uniform stepsizes when applied to ODE constrained optimal control problems in a first-discretize-then-optimize setting. We upgrade our former implicit two-step Peer triplets constructed in [Algorithms, 15:310, 2022] to get ready for dynamical systems with varying time scales without loosing efficiency. Peer triplets consist of a standard Peer method for interior time steps supplemented by matching methods for the starting and end steps. A decisive advantage of Peer methods is their absence of order reduction since they use stages of the same high stage order. The consistency analysis of variable-stepsize implicit Peer methods results in additional order conditions and severe new…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Optimization and Variational Analysis · Stability and Control of Uncertain Systems
