Chaos synchronization and chaos-based secure communication based on new unknown input observer approach

2016 ◽  
Author(s):  
Jiancheng Zhang ◽  
Fanglai Zhu
Keyword(s):  
Secure Communication ◽  
Chaos Synchronization ◽  
Unknown Input ◽  
Unknown Input Observer

Nonlinear unknown input observer using mean value theorem and genetic algorithm

2019 ◽  
Vol 10 (02) ◽  
pp. 1950001 ◽  
Author(s):  
Ramzi Ben Messaoud
Keyword(s):  
Genetic Algorithm ◽  
Secure Communication ◽  
Estimation Error ◽  
Mean Value ◽  
Stability Study ◽  
Observer Design ◽  
Theoretical Development ◽  
Mean Value Theorem ◽  
Unknown Input ◽  
Unknown Input Observer

In this note, we consider a new unknown input observer design for nonlinear systems. The main idea consists in determining the estimation error and mean value theorem parameters ([Formula: see text]) to introduce them into proposed observer structure. This process is designed on the basis of mean value theorem and genetic algorithm. The stability study relies on the use of a classical quadratic Lyapunov function. The observer’s gains are determined systematically. For the validation of theoretical development proposed in this paper, we consider two practical realizations that deals with the secure communication problem.

scholarly journals Chaos Synchronization Based on Unknown Input Proportional Multiple-Integral Fuzzy Observer

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
T. Youssef ◽  
M. Chadli ◽  
H. R. Karimi ◽  
M. Zelmat
Keyword(s):  
Secure Communication ◽  
Chaos Synchronization ◽  
Chaotic Systems ◽  
Lyapunov Stability Theory ◽  
Multiple Integral ◽  
Linear Matrix ◽  
Unknown Input ◽  
Matrix Inequalities ◽  
Decision Variables ◽  
Takagi Sugeno

This paper presents an unknown input Proportional Multiple-Integral Observer (PIO) for synchronization of chaotic systems based on Takagi-Sugeno (TS) fuzzy chaotic models subject to unmeasurable decision variables and unknown input. In a secure communication configuration, this unknown input is regarded as a message encoded in the chaotic system and recovered by the proposed PIO. Both states and outputs of the fuzzy chaotic models are subject to polynomial unknown input withkth derivative zero. Using Lyapunov stability theory, sufficient design conditions for synchronization are proposed. The PIO gains matrices are obtained by resolving linear matrix inequalities (LMIs) constraints. Simulation results show through two TS fuzzy chaotic models the validity of the proposed method.

scholarly journals Robust Fault-Tolerant Control of an Electro-Hydraulic Actuator With a Novel Nonlinear Unknown Input Observer

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30750-30760
Author(s):  
Van Du Phan ◽  
Cong Phat Vo ◽  
Hoang Vu Dao ◽  
Kyoung Kwan Ahn
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Hydraulic Actuator

Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

2021 ◽  
Author(s):  
V. Kamatchi Kannan ◽  
R. Srimathi ◽  
V. Gomathi ◽  
R. Valarmathi ◽  
L.T. PrithiEkammai
Keyword(s):  
Fault Diagnosis ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Sensor Fault

CHAOS SYNCHRONIZATION VIA UNIDIRECTIONAL COUPLING AND ITS APPLICATION TO SECURE COMMUNICATION

2009 ◽  
Vol 23 (32) ◽  
pp. 5949-5964 ◽  
Author(s):  
XINGYUAN WANG ◽  
MINGJUN WANG
Keyword(s):  
Secure Communication ◽  
Chaos Synchronization ◽  
Function Method ◽  
The Self ◽  
Largest Lyapunov Exponent ◽  
Global Synchronization ◽  
Unidirectional Coupling ◽  
Response System ◽  
Lyapunov Function Method ◽  
Simulation Results

This paper studies chaos synchronization via unidirectional coupling. The self-synchronization of Lorenz systems, modified coupled dynamos systems and hyperchaotic Chen systems is studied by three methods: the Lyapunov function method, the global synchronization method and the numerical calculation of the largest Lyapunov exponent method. In regard to application to communication, we show that via transmitting single signal the synchronization of the drive system and the response system can be achieved. An example of applying self-synchronization of hyperchaotic Chen systems to chaotic masking secure communication is presented in this paper. Simulation results show the effectiveness of the method.

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