Jul 24, 2024 · Abstract:We introduce data to predictive control, D2PC, a framework to facilitate the design of robust and predictive controllers from data.
Jul 24, 2024 · We introduce data to predictive control, D2PC, a framework to facilitate the design of robust and predictive controllers from data.
Jul 25, 2024 · Johannes Köhler's Post · From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements · More Relevant Posts.
Data-driven predictive control (DDPC) has been recently proposed as an effective alternative to traditional model-predictive control (MPC) for its unique ...
Jul 24, 2024 · We introduce data to predictive control, D2PC, a framework to facilitate the design of robust and predictive controllers from data.
We propose a novel data-driven stochastic model predictive control framework for uncertain linear systems with noisy output measurements. Model Predictive ...
In this brief, we put forward a new data-driven approach to output prediction of stochastic linear time-invariant (LTI) systems.
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We propose a novel data-driven stochastic model predictive control framework for uncertain linear systems with noisy output measurements. Our approach ...
Abstract. This paper investigates data-driven output-feedback predictive control of linear systems subject to stochastic disturbances.
We propose a novel data-driven stochastic model predictive control framework for uncertain linear systems with noisy output measurements. Model Predictive ...