scholarly journals Control and Synchronization of Chaos in RCL-Shunted Josephson Junction with Noise Disturbance Using Only One Controller Term

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Di-Yi Chen ◽  
Wei-Li Zhao ◽  
Xiao-Yi Ma ◽  
Run-Fan Zhang
Keyword(s):  
Chaos Control ◽  
Control Method ◽  
Sliding Mode ◽  
Chaotic Behavior ◽  
Coupled System ◽  
Noise Disturbance ◽  
Single Controller ◽  
Simulation Results ◽  
Control And Synchronization ◽  
Asymptotic Synchronization

This paper investigates the control and synchronization of the shunted nonlinear resistive-capacitive-inductance junction (RCLSJ) model under the condition of noise disturbance with only one single controller. Based on the sliding mode control method, the controller is designed to eliminate the chaotic behavior of Josephson junctions and realize the achievement of global asymptotic synchronization of coupled system. Numerical simulation results are presented to demonstrate the validity of the proposed method. The approach is simple and easy to implement and provides reference for chaos control and synchronization in relevant systems.

scholarly journals Microcontroller Implementation, Chaos Control, Synchronization and Antisynchronization of Josephson Junction Model

2021 ◽  
Vol 1 (2) ◽  
pp. 198-208
Author(s):  
Rolande Tsapla Fotsa ◽  
André Rodrigue Tchamda ◽  
Alex Stephane Kemnang Tsafack ◽  
Sifeu Takougang Kingni
Keyword(s):  
Josephson Junction ◽  
Chaos Control ◽  
Control Method ◽  
Dynamical Behavior ◽  
Phase Portraits ◽  
Chaotic Attractors ◽  
Hurwitz Stability ◽  
Feedback Control Method ◽  
Different Shapes ◽  
Simulation Results

The microcontroller implementation, chaos control, synchronization, and antisynchronization of the nonlinear resistive-capacitive-inductive shunted Josephson junction (NRCISJJ) model are reported in this paper. The dynamical behavior of the NRCISJJ model is performed using phase portraits, and time series. The numerical simulation results reveal that the NRCISJJ model exhibits different shapes of hidden chaotic attractors by varying the parameters. The existence of different shapes of hidden chaotic attractors is confirmed by microcontroller results obtained from the microcontroller implementation of the NRCISJJ model. It is theoretically demonstrated that the two designed single controllers can suppress the hidden chaotic attractors found in the NRCISJJ model. Finally, the synchronization and antisynchronization of unidirectional coupled NRCISJJ models are studied by using the feedback control method.  Thanks to the Routh Hurwitz stability criterion, the controllers are designed in order to control chaos in JJ models and achieved synchronization and antisynchronization between coupled NRCISJJ models. Numerical simulations are shown to clarify and confirm the control, synchronization, and antisynchronization.

scholarly journals Chaos Control on a Duopoly Game with Homogeneous Strategy

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Manying Bai ◽  
Yazhou Gao
Keyword(s):  
Local Stability ◽  
Chaos Control ◽  
Control Method ◽  
Stable State ◽  
Delayed Feedback Control ◽  
Market Demand ◽  
Adaptive Expectation ◽  
Feedback Control Method ◽  
Simulation Results ◽  
Better Than

We study the dynamics of a nonlinear discrete-time duopoly game, where the players have homogenous knowledge on the market demand and decide their outputs based on adaptive expectation. The Nash equilibrium and its local stability are investigated. The numerical simulation results show that the model may exhibit chaotic phenomena. Quasiperiodicity is also found by setting the parameters at specific values. The system can be stabilized to a stable state by using delayed feedback control method. The discussion of control strategy shows that the effect of both firms taking control method is better than that of single firm taking control method.

scholarly journals Finite Time Stability of Finance Systems with or without Market Confidence Using Less Control Input

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Chao Ma ◽  
Yujuan Tian ◽  
Zhongfeng Qu
Keyword(s):  
Finite Time ◽  
Chaotic Systems ◽  
Control Method ◽  
Control Input ◽  
Three Dimension ◽  
Time Stability ◽  
Finance System ◽  
Finite Time Stability ◽  
Single Controller ◽  
Simulation Results

In this paper, we make an exploration of a technique to control a class of finance chaotic systems. This technique allows one to achieve the finite time stability of the finance system more effectively with less control input energy. First, the finite time stability of three dimension finance system without market confidence is analyzed by using a single controller. Then, two controllers are designed to stabilize the four-dimension finance system with market confidence. Moreover, the finite time stability of the three-dimension and four-dimension finance system with unknown parameter is also studied. Finally, simulation results are presented to show the chaotic behaviour of the finance systems, verify the effectiveness of the proposed control method, and illustrate its advantages compared with other methods.

An Improved Sliding Mode Control Method and its Application

2012 ◽  
Vol 200 ◽  
pp. 459-461
Author(s):  
Jian Zhu ◽  
Chang Fan Zhang ◽  
Mao Zhen Cui ◽  
Gang Huang
Keyword(s):  
Motor Control ◽  
Control Method ◽  
Sliding Mode ◽  
Variable Speed ◽  
Servo Motor ◽  
Motor Speed ◽  
Reaching Law ◽  
Speed Range ◽  
Packaging Industry ◽  
Simulation Results

With the shaftless driving technology used in the packaging industry,servo motor control has become increasingly demanding. Beginning with the reasons of chattering, this article proposes a new sliding mode reaching law,adding a power attenuation term in front of the variable speed item,and then affects the shaftless gravure package printing chromatography system with PMSM as the actuator, improved servo motor speed range and efficency of the shaftless driving system.At last,the simulation results indicate the effectiveness of the proposed approach.

scholarly journals Synchronization of Synchronous Reluctance Motors Using the Discrete Sliding Mode Control Technique

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Salahuddin Abdul Rahman ◽  
Mohamed Zribi ◽  
Nejib Smaoui
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Chaotic Behavior ◽  
Initial Conditions ◽  
Control Technique ◽  
Mode Control ◽  
Synchronous Reluctance Motor ◽  
Control Scheme ◽  
Bounded Disturbances ◽  
Simulation Results

The synchronous reluctance motor (SynRM) drive system is known to exhibit chaotic behavior under specified conditions. In this paper, the discrete-time sliding mode control (DSMC) technique is used to synchronize two SynRMs starting from different sets of initial conditions. The mixed variable speed reaching law is adopted in the design of the controller scheme. The parameters of the designed control scheme are tuned using a genetic algorithm (GA). Simulation results are presented to demonstrate the effectiveness of the proposed controller. In addition, the performance of the proposed control scheme is studied through simulations when bounded disturbances and mismatches between the parameters of the systems and those of the control scheme exist. The simulation results show that the designed control scheme is robust to bounded external disturbances and to mismatches in the parameters of the systems.

Chaos Control of Atomic Force Microscope System Using Nonlinear Model Predictive Control

2016 ◽  
Vol 33 (3) ◽  
pp. 405-415 ◽  
Author(s):  
J. Keighobadi ◽  
J. Faraji ◽  
S. Rafatnia
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Chaos Control ◽  
Control Method ◽  
Nonlinear Model Predictive Control ◽  
Stable Range ◽  
Operational Conditions ◽  
Simulation Results ◽  
Micro Cantilever

AbstractOwing to robust and optimal specification, model predictive control method has received wide attentions over recent years. Since in certain operational conditions, an Atomic/scanning Force Microscope (AFM) shows chaos behavior, the chaos feedback control of the AFM system is considered. According to the nonlinear model of forces interacting between the tip of micro cantilever and the substrate of AFM; the nonlinear control methods are proposed. In the paper, the chaos control of a micro cantilever AFM based on the nonlinear model predictive control (NMPC) technique is presented. Through software simulation results, the effectiveness of the designed NMPC of the AFM is assessed. The simulation results together with analytical stability proofs indicate that the proposed method is effective in keeping the system in a stable range.

scholarly journals A neural network combined with sliding mode controller for the two-wheel self-balancing robot

2021 ◽  
Vol 10 (3) ◽  
pp. 592
Author(s):  
Duc-Minh Nguyen ◽  
Van-Tiem Nguyen ◽  
Trong-Thang Nguyen
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Sliding Mode ◽  
Lyapunov Theory ◽  
Sliding Mode Controller ◽  
Control Laws ◽  
Noise Compensation ◽  
Simulation Results ◽  
Balancing Robot ◽  
The Stability

This article presents the sliding control method combined with the selfadjusting neural network to compensate for noise to improve the control system's quality for the two-wheel self-balancing robot. Firstly, the dynamic equations of the two-wheel self-balancing robot built by Euler–Lagrange is the basis for offering control laws with a neural network of noise compensation. After disturbance-compensating, the sliding mode controller is applied to control quickly the two-wheel self-balancing robot reached the desired position. The stability of the proposed system is proved based on the Lyapunov theory. Finally, the simulation results will confirm the effectiveness and correctness of the control method suggested by the authors.

Bifurcation Analysis and Chaos Control in a Second-Order Rational Difference Equation

2018 ◽  
Vol 19 (1) ◽  
pp. 53-68 ◽  
Author(s):  
Qamar Din ◽  
A. A. Elsadany ◽  
Samia Ibrahim
Keyword(s):  
Difference Equation ◽  
Bifurcation Theory ◽  
Chaos Control ◽  
Control Method ◽  
Chaotic Behavior ◽  
Period Doubling ◽  
Pitchfork Bifurcation ◽  
Second Order ◽  
Center Manifold Theorem ◽  
Rational Difference Equation

AbstractThis work is related to dynamics of a second-order rational difference equation. We investigate the parametric conditions for local asymptotic stability of equilibria. Center manifold theorem and bifurcation theory are implemented to discuss the parametric conditions for existence and direction of period-doubling bifurcation and pitchfork bifurcation at trivial equilibrium point. Moreover, the parametric conditions for existence and direction of Neimark–Sacker bifurcation at positive steady state are investigated with the help of bifurcation theory. The chaos control in the system is discussed through implementation of OGY feedback control method. In particular, we stabilize the chaotic orbits at an unstable fixed point by using OGY chaotic control. Finally, numerical simulations are provided to illustrate theoretical results. The computation of the maximum Lyapunov exponents confirms the presence of chaotic behavior in the system.

scholarly journals Fractional Grassi–Miller Map Based on the Caputo h-Difference Operator: Linear Methods for Chaos Control and Synchronization

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ibtissem Talbi ◽  
Adel Ouannas ◽  
Giuseppe Grassi ◽  
Amina-Aicha Khennaoui ◽  
Viet-Thanh Pham ◽  
...  
Keyword(s):  
Chaotic Dynamics ◽  
Chaos Control ◽  
Chaotic Systems ◽  
Difference Operator ◽  
Dynamic Properties ◽  
Linear Control ◽  
Control Laws ◽  
Simulation Results ◽  
Control And Synchronization ◽  
Linear Controllers

Investigating dynamic properties of discrete chaotic systems with fractional order has been receiving much attention recently. This paper provides a contribution to the topic by presenting a novel version of the fractional Grassi–Miller map, along with improved schemes for controlling and synchronizing its dynamics. By exploiting the Caputo h-difference operator, at first, the chaotic dynamics of the map are analyzed via bifurcation diagrams and phase plots. Then, a novel theorem is proved in order to stabilize the dynamics of the map at the origin by linear control laws. Additionally, two chaotic fractional Grassi–Miller maps are synchronized via linear controllers by utilizing a novel theorem based on a suitable Lyapunov function. Finally, simulation results are reported to show the effectiveness of the approach developed herein.

scholarly journals Chaos Control and Synchronization of a Complex Rikitake Dynamo Model

Entropy ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. 671 ◽  
Author(s):  
Wenkai Pang ◽  
Zekang Wu ◽  
Yu Xiao ◽  
Cuimei Jiang
Keyword(s):  
Numerical Simulation ◽  
Chaos Control ◽  
Control Method ◽  
Equilibrium Points ◽  
Dynamo Model ◽  
Adaptive Controllers ◽  
Rikitake System ◽  
Feedback Control Method ◽  
Dynamical Properties ◽  
Control And Synchronization

A novel chaotic system called complex Rikitake system is proposed. Dynamical properties, including symmetry, dissipation, stability of equilibria, Lyapunov exponents and bifurcation, are analyzed on the basis of theoretical analysis and numerical simulation. Further, based on feedback control method, the complex Rikitake system can be controlled to any equilibrium points. Additionally, this paper not only proves the existence of two types of synchronization schemes in the complex Rikitake system but also designs adaptive controllers to realize them. The proposed results are verified by numerical simulations.

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