Data-driven realizations of kernel and image representations and their application to fault detection and control system design |
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Authors: | Steven X Ding Ying Yang Yong Zhang Linlin Li |
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Affiliation: | 1. Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Germany;2. State Key Lab for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, Peking University, PR China |
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Abstract: | This paper deals with the data-driven design of observer-based fault detection and control systems. We first introduce the definitions of the data-driven forms of kernel and image representations. It is followed by the study of their identification. In the context of a fault-tolerant architecture, the design of observer-based fault detection, feed-forward and feedback control systems are addressed based on the data-driven realization of the kernel and image representations. Finally, the main results are demonstrated on the laboratory continuous stirred tank heater (CSTH) system. |
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Keywords: | Data-driven methods Observer-based fault detection and control Kernel and image representations |
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