Application and classification of fuzzy dynamic system and fuzzy linguistic controller with examples illustrated

1993 ◽  
Author(s):  
Paul P. Wang ◽  
Ching-Yu Tyan
Keyword(s):  
Dynamic System ◽  
Fuzzy Dynamic System ◽  
Fuzzy Linguistic

Fuzzy dynamic system and fuzzy linguistic controller classification

Automatica ◽  
1994 ◽  
Vol 30 (11) ◽  
pp. 1769-1774 ◽  
Author(s):  
Paul P. Wang ◽  
Ching-Yu Tyan
Keyword(s):  
Dynamic System ◽  
Fuzzy Dynamic System ◽  
Fuzzy Linguistic

Automated System Design for Classification of Chronic Lung Viruses using Non-Linear Dynamic System Features and K-Nearest Neighbour

2021 ◽  
Author(s):  
Misha Urooj Khan ◽  
Ayesha Farman ◽  
Asad Ur Rehman ◽  
Nida Israr ◽  
Muhammad Zulqarnain Haider Ali ◽  
...  
Keyword(s):  
Dynamic System ◽  
System Design ◽  
Linear Dynamic System ◽  
Automated System ◽  
Nearest Neighbour ◽  
Linear Dynamic ◽  
Non Linear

scholarly journals Classification of the state of the dynamic system, which is functioned by which is described by vector autoresis

2019 ◽  
Vol 4 (123) ◽  
pp. 131-154
Author(s):  
Oleksandr Pavlovych Sarychev
Keyword(s):  
Dynamic System ◽  
Power Plants ◽  
A Priori ◽  
Technical Condition ◽  
Regression Equations ◽  
Unknown Parameters ◽  
Term Operation ◽  
Space Objects ◽  
Input Variables

Within the framework of the article, the problem of statistical classification of states of a dynamic system is solved, which can be in two classes of states, in each of which its operation is described by its own system of autoregressive equations with a priori unknown parameters. It is assumed that the following conditions are fulfilled: a) two classes of states are described by the same sets of observed input and output variables; b) the output variables, both in the first and in the second class, are determined by different sets of regressors (input variables); c) the models of functioning in the first and second classes are different both in terms of coefficients and in the structure of autoregressive models; d) the covariance matrices of random variables in the functioning models and the observation models for the first and second classes are different. The rule of classification is constructed and its properties are investigated.The experience of successfully solving problems of detecting changes in the properties of dynamic systems based on regression equations in the work, where an approach to constructing mathematical models for monitoring the technical condition of power and power plants in long-term operation was proposed, shows the feasibility of applying this approach to solving problems of controlling the operation of rocket-space objects technology.The problem of classifying states of a dynamic system, which can be in two classes of states, is considered. The functioning of the system in classes is described by various systems of autoregressive equations. The rule of classification is constructed and its properties are investigated.

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