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Can I read Identifying Chaotic Systems Using a Fuzzy Model Coupled with a Linear Plant on EtoBox?
Identifying Chaotic Systems Using a Fuzzy Model Coupled with a Linear Plant by Jiin-Po Yeh is a Physics and Astronomy article available to read on EtoBox.
What is Identifying Chaotic Systems Using a Fuzzy Model Coupled with a Linear Plant about?
In this paper, a model for identifying chaotic systems is derived from the theory of a feed-forward neural network with three layers. One part of the derived model has the form of a fuzzy logic-based intelligent mechanism; the other part is a linear difference equation, similar to the Wiener-type cascade structure. Three dynamical systems are presented to demonstrate the effectiveness of the proposed model: a one-dimensional logistic map, two-dimensional He ́non map and the continuous-time pendulum system. For both discrete-time and continuous-time chaotic systems, the proposed model always takes the form of a difference equation. Numerical simulations show that the proposed model can well identify the dynamical systems. Time series and time-delayed pseudo-phase plane plots are drawn for both the dynamical systems and the proposed model.
Who reads Identifying Chaotic Systems Using a Fuzzy Model Coupled with a Linear Plant?
It is typically read by researchers, students, and practitioners in Physics and Astronomy.
- Author
- Jiin-Po Yeh
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0960-0779)
- Published
- 2007
- Language
- EN
- Field
- Physics and Astronomy (Physical Sciences)