An Iterative Data-Driven Linear Quadratic Method to Solve Nonlinear Discrete-Time Tracking Problems
نویسندگان
چکیده
The objective of this article is to introduce a novel data-driven iterative linear quadratic (LQ) control method for solving class nonlinear optimal tracking problems. Specifically, an algorithm proposed approximate the Q-factors arising from LQ stochastic This then coupled with LQ-methods determining local solutions problems in purely setting. Simulation results highlight potential field applications.
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ژورنال
عنوان ژورنال: IEEE Transactions on Automatic Control
سال: 2021
ISSN: ['0018-9286', '1558-2523', '2334-3303']
DOI: https://doi.org/10.1109/tac.2021.3056398