Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates

Iterative optimization algorithms depend on access to information about the objective function. In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph. We explore how nonlinear control algorithms, often employing line...

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Bibliographic Details

Published in:	Open Journal of Mathematical Optimization Vol. 5; pp. 1 - 63
Main Authors:	Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid
Format:	Journal Article
Language:	English
Published:	Université de Montpellier 04.11.2024
Subjects:	Differentiable Programming Dynamic Differentiable Programming Gauss–Newton Newton Nonlinear Discrete Time Control
ISSN:	2777-5860, 2777-5860
Online Access:	Get full text
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