Disturbance Observer-based Data Driven Model Predictive Tracking Control of Linear Systems
نویسندگان
چکیده
This paper introduces a new data-driven MPC structure based on two offline and online parts to achieve the robust constrained performance in an optimal scheme. In first step, according model matching condition, controller is designed reach tracking performance. addition, reduce effects of external disturbance, data-driven-based disturbance observer presented estimate disturbance. Therefore, robustness against disturbances achieved procedure. Then, predictive control (MPC) structured stabilized system. other words, overall configured such that limitations system states input are considered design process. Moreover, by employing move blocking strategy, computational burden suggested greatly reduced. To further improve feasibility problem, ellipsoidal terminal (ET) constraint considered. The rows number matrix influences ET set which leads enhancement. So, main contributions improvement reducing scheme illustrated simulation section.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3305496