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A grey system means that a system in which part of information is known and part of information is unknown. Formally, grey systems theory describes uncertainty by interval-valued unknowns called grey numbers, with the width of the interval reflecting more or less precise knowledge. [3]
Deng Julong (Chinese: 邓聚龙; January 1933 – June 22, 2013) was a professor of Huazhong University of Science and Technology, Wuhan, China.He is acknowledged as the founder of grey system theory, first proposed in 1982 with the publication of his paper “Control problems of grey systems,” in the international journal Systems and Control Letter, edited at the time by Roger W. Brockett ...
Liu is an honorary fellow of the World Organisation of Systems and Cybernetics, [6] and an honorary editor of "International Journal of Grey Systems" (USA). [7] German Chancellor Angela Merkel mentioned Liu's contributions to grey system theory in a 2019 speech at Huazhong University of Science and Technology. [8]
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grey box model: although the peculiarities of what is going on inside the system are not entirely known, a certain model based on both insight into the system and experimental data is constructed. This model does however still have a number of unknown free parameters which can be estimated using system identification.
This list of types of systems theory gives an overview of different types of systems theory, which are mentioned in scientific book titles or articles. [1] The following more than 40 types of systems theory are all explicitly named systems theory and represent a unique conceptual framework in a specific field of science .
Thus, almost all models are grey box models as opposed to black box where no model form is assumed or white box models that are purely theoretical. Some models assume a special form such as a linear regression [6] [7] or neural network. [8] [9] These have special analysis methods.