z-logo
open-access-imgOpen Access
Dynamics and Robust Control of a New Realizable Chaotic Nonlinear Model
Author(s) -
M. Higazy,
Emad E. Mahmoud,
E. M. Khalil,
S. AbdelKhalek,
S. M. AboDahab,
Hammad Alotaibi
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/6692369
Subject(s) - chaotic , nonlinear system , lyapunov exponent , computer science , control theory (sociology) , signal flow graph , graph , chaotic systems , controller (irrigation) , graph theory , theoretical computer science , control (management) , mathematics , artificial intelligence , physics , engineering , agronomy , quantum mechanics , combinatorics , electrical engineering , biology
We present a new viable nonlinear chaotic paradigm. This paradigm has four nonlinear terms. The essential features of the new paradigm have been investigated. Our new system is confirmed to have chaotic behaviors by calculating its Lyapunov exponents. The relations of the system states are displayed by a suggested new signal flow graph (SFG). The proposed SFG is discussed via some graph theory tools, and some of its hidden features are calculated. In addition, the system is realized via constructing its electronic circuit which helps in the real applications. Also, a robust controller for the system is designed with the aid of a genetic algorithm.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom