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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Vydané v:	Open Journal of Mathematical Optimization Ročník 5; s. 1 - 63
Hlavní autori:	Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Université de Montpellier 04.11.2024
Predmet:	Differentiable Programming Dynamic Differentiable Programming Gauss–Newton Newton Nonlinear Discrete Time Control
ISSN:	2777-5860, 2777-5860
On-line prístup:	Získať plný text
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