Method of Parametric Identification for Interval Discrete Dynamic Models and the Computational Scheme of Its Implementation

Author(s):  
Mykola Dyvak ◽  
Natalia Porplytsya ◽  
Yurii Maslyak ◽  
Mykola Shynkaryk
1964 ◽  
Vol 90 (5) ◽  
pp. 71-102
Author(s):  
Robert K. Wen ◽  
Teoktistos Toridis

1966 ◽  
Vol 92 (1) ◽  
pp. 188-189
Author(s):  
Robert K. Wen ◽  
Teoktistos Toridis

Author(s):  
Meng Xu ◽  
Ziyou Gao

This paper aims to discuss unstable traffic flow and to identify if chaotic phenomena exist in a traffic flow dynamic system. Two discrete dynamic models are proposed, which are derived from the flow-density-speed fundamental diagram and Del Castillo and Benitez’s exponential curve model and maximum sensitivity curve model. Both the models have two parameters, which are the ratio of free flow and spacing average speed and the ratio of the absolute value of kinematic wave speed at jam density and free flow speed. Chaos is found in the two models when the two values increase separately. The Liapunov exponents were used to examine the characters of the chaotic behavior in the two models. These results are illustrated by numerical examples.


2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Ke Cao ◽  
Jing Xiao ◽  
Yan Wu

Urban landscape design as a contemporary art embodies postmodernist philosophical thinking, aesthetic thinking, and breaking the traditional concept of art, and it is a new way of creating and presenting art. Big data technology characterized by large scale, speed, variety, value, and uncertainty of data is used to achieve urban landscape design. In this article, during the research process, we strive to raise the revelation of the design layer rather than the brand new level of cross-fertilization and interaction between big data-driven discrete dynamic model and urban landscape design; we also reveal how the benefits of promoting urban development and harmonious life are achieved in the interactive expression of the urban landscape after the application of the big data-driven discrete dynamic model, which provides designers and related professionals with more detailed and novel design ideas at the theoretical level and makes the theory of big data-driven discrete dynamic models in landscape design interactive methods more enriched. Finally, this article puts forward its thinking and outlook on the design of the big data-driven discrete dynamic model in the interactivity of urban landscape design, hoping that artists will strengthen its functional and material design elements when creating performance. Moreover, more design means of emerging technologies of modern science and technology should be integrated so that modern urban landscape can achieve ordinary and uncommon benefits and promote the rapid development of the big data-driven discrete dynamic model in urban landscape design development.


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