We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC ...
Mar 8, 2020 · We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC.
Data-Enabled Predictive Control (DeePC). I Follow the streamflow of data-driven rather than model-based approach: an alternative for model predictive ...
Jul 22, 2024 · This paper proposes an online DeePC framework for time-varying systems (i.e., systems with evolving dynamics), enabling the algorithm to update ...
We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC ...
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Online data-enabled predictive control - Alfred University
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We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC ...
Data-enabled Predictive Control (DeePC) is a data-driven non-parametric algorithm for combined identification (learning) and control of dynamical systems.
Sep 3, 2021 · The objective of ODeePC is to utilize the online data measurements to capture real-time variation of the controlled system, and generate optimal ...
This paper introduces a novel recursive updating algorithm for DeePC that emphasizes the use of Singular Value Decomposition (SVD) for efficient ...
A novel data-enabled predictive control (DeePC) algorithm is presented that computes optimal and safe control policies using real-time feedback driving the ...
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