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Parameter estimation in a new chaotic memristive system using ions motion optimization
- Publication Year :
- 2019
- Publisher :
- Springer Verlag, 2019.
-
Abstract
- In this paper, a new four-dimensional nonlinear oscillator is introduced. This oscillator is memristive and can exhibit chaotic behavior. A complete dynamical analysis is done on each parameter of this system by the help of bifurcation diagram and Lyapunov exponents’ diagram. In order to estimate parameters of the proposed system, we use a new cost function based on the similarity between return maps. Then, with the help of ions motion optimization method, we minimize the obtained cost function and find the exact value of parameters. Scopus
- Subjects :
- Similarity (geometry)
Global chaos
Estimation theory
Computer science
Diagram
Chaotic
Chaotic systems
General Physics and Astronomy
Value (computer science)
Lyapunov exponent
Function (mathematics)
Bifurcation diagram
01 natural sciences
Chaos theory
010305 fluids & plasmas
symbols.namesake
0103 physical sciences
symbols
Applied mathematics
General Materials Science
Physical and Theoretical Chemistry
010301 acoustics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....154630c723dcb6bf897cb35a01156229