Adaptive Integral-Based Robust Q-S Synchronization and Parameter Identification of Nonlinear Hyperchaotic Complex Systems
Author(s) -
Sami ud Din,
Muhammad Rafiq Mufti,
Humaira Afzal,
Majid Ali,
Muhammad Abdul Moiz Zia
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 - 10.1155/2021/6678978
Subject(s) - control theory (sociology) , synchronization (alternating current) , controller (irrigation) , nonlinear system , lyapunov stability , adaptive control , transformation (genetics) , integral sliding mode , computer science , identification (biology) , sliding mode control , scheme (mathematics) , mode (computer interface) , mathematics , control (management) , artificial intelligence , computer network , mathematical analysis , channel (broadcasting) , biochemistry , physics , chemistry , botany , quantum mechanics , gene , agronomy , biology , operating system
)is communique presents the Q-S synchronization of two nonidentical complex nonlinear hyperchaotic systems with unknown parameters. An adaptive controller based on adaptive integral sliding mode control and parameter update laws are designed to realize the synchronization and parameter identification to a given map vector. )e aforementioned strategy’s employment demands the transformation of a system into a specific structure containing a nominal part and some unknown terms (later on, these unknown terms will be computed adaptively). An integral sliding mode controller is used to stabilize the error system by designing nominal control accompanied by compensator control. For chattering suppression, a continuous compensator of smooth nature is used instead of conventional control. )e stability of the proposed algorithm is established in an impressive way, using Lyapunov criteria. A numerical simulation is performed to illustrate the validity of the proposed synchronization scheme.
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