Stability Analysis and Control of A 3-D Autonomous Ai-Yuan-Zhi-Hao Hyperchaotic System
E. Umoh. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 2 (4):
9(August 2013)
DOI: 10.5121/ijscai.2013.2401
Abstract
The stability analysis and control of a three-dimensional autonomous chaotic system that exhibits
hyperchaotic properties is presented in this paper. The system's algebraic structure consists of six variable
control parameters, three nonlinear terms and two cross-products which triggers hypersensitivity in its
dynamic state evolutions. Stability analysis and control via fuzzy modelling confirms the controllability of
its unstable orbits in well-tuned regions of stability using Lyapunov principles.
%0 Journal Article
%1 noauthororeditor
%A Umoh, Edwin A.
%D 2013
%J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
%K Chaos Lyapunov fuzzy hyperchaos model stability
%N 4
%P 9
%R 10.5121/ijscai.2013.2401
%T Stability Analysis and Control of A 3-D Autonomous Ai-Yuan-Zhi-Hao Hyperchaotic System
%U http://airccse.org/journal/ijscai/papers/2413ijscai01.pdf
%V 2
%X The stability analysis and control of a three-dimensional autonomous chaotic system that exhibits
hyperchaotic properties is presented in this paper. The system's algebraic structure consists of six variable
control parameters, three nonlinear terms and two cross-products which triggers hypersensitivity in its
dynamic state evolutions. Stability analysis and control via fuzzy modelling confirms the controllability of
its unstable orbits in well-tuned regions of stability using Lyapunov principles.
@article{noauthororeditor,
abstract = {The stability analysis and control of a three-dimensional autonomous chaotic system that exhibits
hyperchaotic properties is presented in this paper. The system's algebraic structure consists of six variable
control parameters, three nonlinear terms and two cross-products which triggers hypersensitivity in its
dynamic state evolutions. Stability analysis and control via fuzzy modelling confirms the controllability of
its unstable orbits in well-tuned regions of stability using Lyapunov principles.
},
added-at = {2018-04-26T05:35:15.000+0200},
author = {Umoh, Edwin A.},
biburl = {https://www.bibsonomy.org/bibtex/25d21f5dc9236eb30b98eff08f7485932/leninsha},
doi = {10.5121/ijscai.2013.2401},
interhash = {5a564255a9dea665510b146c9538c77c},
intrahash = {5d21f5dc9236eb30b98eff08f7485932},
issn = {2319 - 1015},
journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)},
keywords = {Chaos Lyapunov fuzzy hyperchaos model stability},
language = {English},
month = {August},
number = 4,
pages = 9,
timestamp = {2018-04-26T05:35:15.000+0200},
title = {Stability Analysis and Control of A 3-D Autonomous Ai-Yuan-Zhi-Hao Hyperchaotic System},
url = {http://airccse.org/journal/ijscai/papers/2413ijscai01.pdf},
volume = 2,
year = 2013
}