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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid
Format: Article
Language:English
Published: Université de Montpellier 2024-11-01
Series:Open Journal of Mathematical Optimization
Subjects:
Nonlinear Discrete Time Control
Differentiable Programming
Newton
Gauss–Newton
Dynamic Differentiable Programming
Online Access:https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.32/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items