Yılmaz Uyaroğlu

Nonlinear Sprott94 Case A chaotic equation: Synchronization and masking communication applications

The nonlinear autonomous Sprott94 Case A chaotic equations are algebraically simple but can generate a complex chaotic attractor. In this paper, the Sprott94 Case A system is found suitable for chaotic synchronization circuits and chaotic masking communication circuits using Matlab-Simulink(R) and Orcad-PSpice(R) programs. Simulation results are used to visualize and illustrate the effectiveness of Sprott94 Case A chaotic system in synchronization and secure communication. The applicability of chaos to secure communication is verified by all simulation results performed on Sprott94 Case A chaotic system.

Simplified chaotic diffusionless Lorentz attractor and its application to secure communication systems

Diffusionless Lorentz equations a simplified one-parameter version of the well-known Lorentz model. Also, it was attained in the limit of high Rayleigh and Prandtl numbers, physically corresponding to diffusionless convection. A simplified, one-parameter version of the Lorentz model called diffusionless Lorentz is proposed, which is suitable for chaotic synchronisation and masking communication circuits using Matlab–Simulink and PSpice programmes. It is also suitable for a real electronic experimental circuit.

A new 3D chaotic system with golden proportion equilibria: Analysis and electronic circuit realization

This article introduces a new three-dimensional quadratic continuous autonomous chaotic system with golden proportion equilibria, which can generate single folded attractor. Some basic dynamical behaviors and the dynamical structure of the new chaotic system are investigated either analytically or numerically. Finally, the chaos generator of the new chaotic system was designed, simulated and experimentally confirmed via a novel electronic circuit design. A good qualitative agreement is illustrated between the simulations and the experimental results. It is convenient to use the new system to purposefully generate chaos in chaos applications. The new system has eight terms, two quadratic nonlinearities and two parameters (a and b). The new chaotic attractor equations have three equilibrium points and more interestingly the equilibrium points have golden proportion values.

Synchronization and control of chaos in supply chain management

Chaos in supply chain management is described.Active controllers are applied for the synchronization.Linear feedback controllers are applied for the control.Lyapunov function is used to realize synchronization and control.Computer simulations verify the effectiveness of synchronization and control methods. This paper presents the synchronization and control of a chaotic supply chain management system based on its mathematical model. For this purpose, active controllers are applied for the synchronization of two identical chaotic supply chain management systems. Also, linear feedback controllers are designed and added to the nonlinear supply chain management system to achieve the control of the system. In these methods, synchronization and control are established by using Lyapunov stability theory. As a result, the synchronization and control of chaotic supply chain management system are realized numerically. Computer simulations are performed to verify the robustness of proposed synchronization and control methods.

Passivity-based chaos control and synchronization of the four dimensional Lorenz-Stenflo system via one input

This paper discusses chaos control and synchronization of the four dimensional Lorenz-Stenflo system based on passive control technique. Using passive theory, chaos control and synchronization of a four dimensional Lorenz-Stenflo chaotic system are realized with one input. The designed controllers ensure the stability of the controlled system and error dynamical system between two identical Lorenz-Stenflo systems. Also, the controllers ensure that the controlled system and error dynamical system converge to zero equilibrium. Numerical simulations show that the proposed method is effective for the Lorenz-Stenflo system.

Secure Communication with Chaos and Electronic Circuit Design Using Passivity-Based Synchronization

This work deals with the passive control-based chaos synchronization with circuit design for secure communication. First, the numerical simulation and electronic circuit design of a simple five-term chaotic system are performed. The numerical simulation and electronic circuit design outputs have confirmed each other. Then, the passive control method is applied for synchronizing two identical five-term chaotic systems using only one state control signal. After the synchronization study, design and analysis for secure communication by chaotic masking method are conducted in Matlab–Simulink platform. Finally, an electronic circuit design is performed for the designed communication system. In the designed communication system with Matlab–Simulink platform and electronic circuit design, information signal which is sent from the transmitter unit is successfully retrieved at the receiver unit. As a result, the electronic circuit design has shown that a single state passivity-based synchronization signal can be effectively used for secure data communication applications for the real environment.

Real-time monitoring and fault diagnosis of a low power hub motor using feedforward neural network

Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interruption of the electromechanical system operation; hence, economic losses take place at certain times. Therefore, in order to maintain system operation sustainability, the motor should be precisely monitored and the faults are diagnosed considering various significant motor parameters. In this study, the artificial feedforward backpropagation neural network approach is proposed to real-time monitor and diagnose the faults of the hub motor by measuring seven main system parameters. So as to construct a necessary model, we trained the model, using a data set consisting of 4160 samples where each has 7 parameters, by the MATLAB environment until the best model is obtained. The results are encouraging and meaningful for the specific motor and the developed model may be applicable to other types of hub motors. The prosperous model of the whole system was embedded into Arduino Due microcontroller card and the mobile real-time monitoring and fault diagnosis system prototype for hub motor was designed and manufactured.

Non-Identical Synchronization, Anti-Synchronization and Control of Single-Machine Infinite-Bus Power System via Active Control

Since the idea of synchronizing two identical chaotic systems under different initial conditions was first introduced by Pecora and Carroll, the synchronization of chaotic systems has attracted much attention, and the synchronization of non-identical chaotic systems has also been investigated. Single-Machine Infinite-Bus (SMIB) power system has nonlinear behaviour. On account of avoiding undesirable behaviours in power systems such as voltage collapse, the synchronization and control of SMIB power system have considerable importance. This paper presents chaos synchronization and anti-synchronization of SMIB power system to Duffing oscillator by means of active control method. The sum of synchronization and anti-synchronization signals converge asymptotically to zero and achieve the control of SMIB power system. Numerical simulations are used to demonstrate the validity of proposed active control method on the non-identical synchronization, anti-synchronization and control of SMIB power system. DOI: http://dx.doi.org/10.5755/j01.itc.43.2.4677

Control and synchronization of chaotic supply chains using intelligent approaches

Intelligent control and synchronization of chaotic supply chain are applied.Artificial neural networks based controllers are used for the control.Adaptive neuro-fuzzy inference system based controllers are used for synchronization.Linear feedback and active control signals are also used.Computer simulations show that the proposed approach is very effective. This paper presents the control of chaotic supply chain with Artificial Neural Network (ANN) based controllers and the synchronization of two identical chaotic supply chains that have different initial conditions with Adaptive Neuro-Fuzzy Inference System (ANFIS) based controllers. A hybrid intelligent control model is designed in which the linear feedback and active control signals are also used for achieving the control and synchronization, respectively. ANN and ANFIS controllers are trained according to the model. Thereby, the advantages of classical and intelligent control methods are combined. Computer simulations show that the proposed approach is very effective for the control and synchronization of chaos in supply chain systems.

A Novel Chaotic System for Secure Communication Applications

The secure communication using synchronization between identical chaotic systems have been introduced in literature for a long time. A well-known practical application of chaotic synchronized systems is the Pecora and Carroll (P-C) secure communication method. In this paper, the P-C secure communication algorithm is applied to a novel three dimensional, autonomous chaotic attractor. Having a 45 ○ slope between sub-driver and sub-receiver circuits of a novel chaotic attractor clearly demonstrates that it can be used for the purpose of secure communications. DOI: http://dx.doi.org/10.5755/j01.itc.44.3.7720