Integral Form of Legendre-Gauss-Lobatto Collocation for Optimal Control
Gabriela Abadia-Doyle, William W. Hager, Anil V. Rao

TL;DR
This paper introduces a novel integral form of Legendre-Gauss-Lobatto collocation for solving optimal control problems, deriving new optimality conditions and costate estimates, and demonstrating effectiveness on benchmark problems.
Contribution
It develops a new integral form and derivative-like form of LGL collocation, providing full-rank adjoint systems and costate estimates, with a simplified second integral form including an extra support point.
Findings
Derivation of first-order optimality conditions for the integral form.
Introduction of a derivative-like form with a full-rank adjoint system.
Successful application to benchmark optimal control problems.
Abstract
A new method is described for solving optimal control problems using direct collocation at Legendre-Gauss-Lobatto points. The approach of this paper employs a polynomial approximation of the right-hand side vector field of the differential equations and leads to the following important outcomes. First, the first-order optimality conditions of the LGL integral form are derived, which lead to a full-rank transformed adjoint system and novel costate estimate. Next, a derivative-like form of the LGL collocation method is obtained by multiplying the system by the inverse of an appropriate full-rank block of the integration matrix. The first-order optimality conditions of the LGL derivative-like form are then derived, leading to an equivalent full-rank transformed adjoint system and secondary novel costate estimate which is related to the costate estimate of the integral form via a linear…
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Taxonomy
TopicsSpacecraft Dynamics and Control · Advanced Optimization Algorithms Research · Model Reduction and Neural Networks
