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Encrypted Data-driven Predictive Cloud Control with Disturbance Observer
In this work, a data-driven predictive cloud controller is developed based on homomorphic encryption to protect the cloud data privacy.
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture
First, a construction method for the DPC workflow is designed, to match the distributed processing environment of cloud computing.
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Subspace identification (SID) has been widely used in system identification and control fields since it can estimate system models only relying on the input and output data by reliable numerical operations such as singular value decomposition (SVD).
Design and Implementation of Data-driven Predictive Cloud Control System
Nowadays, the rapid increases of the scale and complexity of the controlled plants bring new challenges such as computing power and storage for conventional control systems.
