This note proposes a model predictive control scheme for tracking a random reference and analyses its performance. In such situations it is usual to assume ...
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Abstract—This note proposes a model predictive control scheme for tracking a random reference and analyses its perfor- mance. In such situations it is usual ...
The goal of this paper is to show that an optimal prediction window arrived at by switching between multiple receding-horizon controllers can provide closed ...
The main objective of tracking model predictive control is to steer the tracking error, that is, the difference between the reference and the output, to zero.
Mar 17, 2023 · Abstract:We analyse the closed-loop performance of a model predictive control (MPC) for tracking formulation with artificial references.
Dec 4, 2019 · The main objective of tracking model predictive control is to stabilize the plant satisfying the constraints and steering the tracking error ...
Model predictive control (MPC) is widely used for trajectory tracking because of its capability of managing multi-variable problems.
Apr 2, 2024 · We show that perfect tracking is possible when incorporating a simple observer that estimates and compensates for periodic disturbances.
May 10, 2024 · Compared to these algorithms, model predictive control (MPC) can achieve rolling optimization by predicting future states based on past states.
Robust and adaptive control strategies are required to achieve high performance in these dynamic environments. In this paper, we propose a novel adap- tive ...