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A comparative study on trajectory tracking control methods for automated vehicles. [PDF]

open access: yesSci Rep
Zeng D   +8 more
europepmc   +1 more source

Reinforcement Operator Learning (ROL): A hybrid DeepONet-guided reinforcement learning framework for stabilizing the Kuramoto-Sivashinsky equation. [PDF]

open access: yesPLoS One
Ahmed N   +7 more
europepmc   +1 more source

Turnpike Properties for Stochastic Linear-Quadratic Optimal Control Problems

open access: yesChinese Annals of Mathematics, Series B, 2022
This paper analyzes the limiting behavior of stochastic linear-quadratic optimal control problems in finite time-horizon [0, T] as T → ∞. The so-called turnpike properties are established for such problems, under stabilizability condition which is weaker
Jingrui Sun, Hanxiao Wang, J. Yong
semanticscholar   +3 more sources
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The time-invariant linear-quadratic optimal control problem

Automatica, 1977
This paper provides a review of one of the basic problems of systems theory-the general time-invariant optimal control problem involving linear systems and quadratic costs. The problem includes on one hand the regulator problem of optimal control and on the other, the theory of linear dissipative systems, itself central to network theory and to the ...
B. Molinari
semanticscholar   +3 more sources

Discrete‐time mean‐field stochastic linear‐quadratic optimal control problem with finite horizon

Asian journal of control, 2020
In this paper we consider the discrete‐time mean‐field stochastic linear‐quadratic (MF‐LQ) optimal control problem with indefinite weighting matrices.
Teng Song, B. Liu
semanticscholar   +1 more source

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