Pontryagin Neural Networks with Functional Interpolation for Optimal Intercept Problems

Energy-optimal trajectory problems in relative motion solved via Theory of Functional Connections

(2021) Kristofer Drozd et al.   ACTA ASTRONAUTICA

The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations

(2020) Carl Leake et al.   Mathematics

Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections

(2020) Hunter Johnston et al.   JOURNAL OF THE ASTRONAUTICAL SCIENCES

Least-squares solution of a class of optimal space guidance problems via Theory of Connections

(2019) Roberto Furfaro et al.   ACTA ASTRONAUTICA

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

High accuracy least-squares solutions of nonlinear differential equations

(2018) Daniele Mortari et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

GPOPS-II

(2014) Michael A. Patterson et al.   ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

Handling constraints in optimal control with saturation functions and system extension

(2010) Knut Graichen et al.   SYSTEMS & CONTROL LETTERS