GitHub

IshaanSal/NLP-Polynomial-Expansion

Implementation of a deep learning model that learns to expand single variable polynomials, where the model takes the factorized sequence as inputs and predicts the expanded sequence. { EX: ...
IEEE

Expanded Time-to-Go Polynomial Guidance Laws With Arbitrary Time-Varying Gain Functions

Abstract: This article presents an expanded form of time-to-go polynomial guidance (TPG), which generalizes constant-gain TPG to accommodate arbitrary time-varying functions. The proposed guidance law ...
GitHub

expand.md

Implement a deep learning model that learns to expand single variable polynomials, where the model takes the factorized sequence as input and predict the expanded sequence. This is an exercise to ...
IEEE

Expanded Time-to-Go Polynomial Guidance Laws With Arbitrary Time-Varying Gain Functions

Abstract: This paper presents an expanded form of Time-to-Go Polynomial Guidance (TPG), which generalizes constant-gain TPG to accommodate arbitrary time-varying functions. The proposed guidance law, ...