Title
A Deterministic Affine-Quadratic Optimal Control Problem
Keywords
Affine quadratic optimal control; Dynamic programming; Hamilton-Jacobi- Bellman equation; Quasi-Riccati equation; State feedback representation
Abstract
A deterministic affine-quadratic optimal control problem is considered. Due to the nature of the problem, optimal controls exist under some very mild conditions. Further, it is shown that under some assumptions, the optimal control is unique which leads to the differentiability of the value function. Therefore, the value function satisfies the corresponding Hamilton-Jacobi- Bellman equation in the classical sense, and the optimal control admits a state feedback representation. Under some additional conditions, it is shown that the value function is actually twice differentiable and the so-called quasi-Riccati equation is derived, whose solution can be used to construct the state feedback representation for the optimal control. © EDP Sciences, SMAI, 2014.
Publication Date
1-1-2014
Publication Title
ESAIM - Control, Optimisation and Calculus of Variations
Volume
20
Issue
3
Number of Pages
633-661
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1051/cocv/2013078
Copyright Status
Unknown
Socpus ID
84903608374 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84903608374
STARS Citation
Wang, Yuanchang and Yong, Jiongmin, "A Deterministic Affine-Quadratic Optimal Control Problem" (2014). Scopus Export 2010-2014. 9041.
https://stars.library.ucf.edu/scopus2010/9041