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Number of results: 11
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Abstract

A new 4-D dynamical system exhibiting chaos is introduced in this work. The proposed nonlinear plant with chaos has an unstable rest point and a line of rest points. Thus, the new nonlinear plant exhibits hidden attractors. A detailed dynamic analysis of the new nonlinear plant using bifurcation diagrams is described. Synchronization result of the new nonlinear plant with itself is achieved using Integral Sliding Mode Control (ISMC). Finally, a circuit model using MultiSim of the new 4-D nonlinear plant with chaos is carried out for practical use.

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Authors and Affiliations

Sundarapandian Vaidyanathan
Aceng Sambas
Sen Zhang
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Abstract

In the recent years, chaotic systems with uncountable equilibrium points such as chaotic systems with line equilibrium and curve equilibrium have been studied well in the literature. This reports a new 3-D chaotic system with an axe-shaped curve of equilibrium points. Dynamics of the chaotic system with the axe-shaped equilibrium has been studied by using phase plots, bifurcation diagram, Lyapunov exponents and Lyapunov dimension. Furthermore, an electronic circuit implementation of the new chaotic system with axe-shaped equilibrium has been designed to check its feasibility. As a control application, we report results for the synchronization of the new system possessing an axe-shaped curve of equilibrium points.

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Authors and Affiliations

Sundarapandian Vaidyanathan
Aceng Sambas
Mustafa Mamat
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Abstract

Researchers have paid significant attention on hyperjerk systems, especial hyperjerk ones with chaos. A new hyperjerk system with seven terms and two parameters is analyzed. Chaotic attractors as well as coexisting attractors are displayed by the hyperjerk system. Thus it is a new multi-stable chaotic hyperjerk system. Further properties of the proposed hyperjerk system such as circuit design and backstepping-based control and synchronization are reported.

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Authors and Affiliations

Viet-Thanh Pham
Sundarapandian Vaidyanathan
Christos Volos
Sajad Jafari
Tomasz Kapitaniak
ORCID: ORCID
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Abstract

In this work, we present results for a new dissipative jerk chaotic system with three quadratic terms in its dynamics.We describe the bifurcation analysis for the new jerk system and also show that the proposed system exhibits multi-stability. Next, we describe a backstepping control-based synchronization design for a pair of new jerk chaotic systems. MATLAB simulations are put forth to exhibit the various findings in this work. Furthermore, we exhibit a circuit simulation for the new jerk system using MultiSim.
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Authors and Affiliations

Sundarapandian Vaidyanathan
1
Khaled Benkouider
2
Aceng Sambas
3

  1. School of Electrical and Computing, Vel Tech University, 400 Feet Outer Ring Road, Avadi, Chennai-600092, Tamil Nadu, India
  2. Non Destructive Testing Laboratory, Automatic Department, Jijel University, BP 98, 18000, Jijel, Algeria
  3. Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya 46196, West Java, Indonesia
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Abstract

This paper presents the design of a wearable electroencephalography device and signal processing algorithm for early detection and forecasting of the epileptiform activity. The availability of the examination of functional brain activity for a prolonged period, outside of the hospital facilities, can provide new advantages in early diagnosis and intervention systems. In this study, the low-cost five-channel device is presented. The system consists of two main parts: the data acquisition and transmission units and processing algorithms. In order to create the robust epileptiform pattern recognition approach the application of statistical sampling and signal processing techniques are performed. The discrete wavelet and Hilbert- Huang transforms with principal component analysis are used in order to extract and select a low-dimension feature vector.
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Bibliography

[1] Stacey, William C. ”Seizure Prediction Is Possible–Now Let’s Make It Practical.”, EBioMedicine, No. 27,2018,pp. 3-4.
[2] Federico, P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain vol. 128, 2005, pp. 1811 - 1817.
[3] Smith S. J. M. ”EEG in the diagnosis, classification, and management of patients with epilepsy”, Journal of Neurology, Neurosurgery & Psychiatry. no. 76, 2005, pp. 112 - 117.
[4] V. Mihajlovi´c, B. Grundlehner, R. Vullers and J. Penders ”Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?”, Journal of Biomedical and Health Informatics vol. 19, no. 1, 2015, pp. 6-21.
[5] Malmivuo, Plonsey, Jakko Malmivuo, Plonsey Robert, ”Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields”, Oxford University Press, USA, 1995.
[6] Sudakov O., Kriukova G.,Natarov R. et al., ”Distributed System for Sampling and Analysis of Electroencephalograms”, in Proc. 2017 IEEE 9th International conference IDAACS 2017, Bucharest, 21-23 September 2017, pp. 306-310
[7] Direito B. et al. ”A realistic seizure prediction study based on multiclass SVM.” International Journal of Neural Systems, vol. 27, no. 3 , 2017.
[8] Federico P., Abbott, D. F., Briellmann, R. S., Harvey, A. S. ”Functional MRI of the pre-ictal state”, Brain, vol. 128., 2005, pp. 1811-1817
[9] Obermaier B. et al. ”Hidden Markov models for online classification of single trial EEG data.”, Pattern recognition letters, No. 12, 2001, pp.1299-1309.
[10] Zaena J.V. ”Adaptive tracking of EEG oscilattiond”, Neuroscience Methods, 2010.
[11] Dilran S.W., Lakshitha P.W, Sudaraka M. ”Seizure prediction using Hilbert-Huang transform on field programmable gate array”, IEEE Global conference on signal and information processing, Orlando, 2015.
[12] Jin-De Zhu, Chin-Feng L. et al. ”Analysis of spike waves in epilepsy using Hilbert-Huang transform”, Journal of Medical Systems, 2015.
[13] Kshischang F. R.”The Hilbert transform”, University of Toronto, 2006.
[14] Herrmann C.S., Grigutsch M., Bush N.A. ”EEG oscillations and wavelet analysis”, Event-related potencial,2005.
[15] Shaiens J.”A tutorial on Principal Analysis”, arXiv preprint, Cornell University, 2014.

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Authors and Affiliations

Viktoriia Gaidar
1
Oleksandr Sudakov
1

  1. Taras Shevchenko National University of Kyiv, Ukraine
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Abstract

A novel 4-D chaotic hyperjerk system with four quadratic nonlinearities is presented in this work. It is interesting that the hyperjerk system has no equilibrium. A chaotic attractor is said to be a hidden attractor when its basin of attraction has no intersection with small neighborhoods of equilibrium points of the system. Thus, our new non-equilibrium hyperjerk system possesses a hidden attractor. Chaos in the system has been observed in phase portraits and verified by positive Lyapunov exponents. Adaptive backstepping controller is designed for the global chaos control of the non-equilibrium hyperjerk system with a hidden attractor. An electronic circuit for realizing the non-equilibrium hyperjerk system is also introduced, which validates the theoretical chaotic model of the hyperjerk system with a hidden chaotic attractor.
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Authors and Affiliations

Sundarapandian Vaidyanathan
Sajad Jafar
Viet-Thanh Pham
Ahmad Taher Azar
Fawaz E. Alsaadi
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Abstract

In the paper an improved method of calculation of the inductance and capacitances in the ?1 circuit for Class A, AB, B, and C resonant power amplifiers is presented. This method is based on an assumption that the quality factor of the inductor is inite and the capacitors are lossless. The input parameters for calculations are the amplifier load resistance, the transistor load resistance, the quality factor of the inductor, the loaded quality factor of the designed circuit, and the operating frequency. The presented method allows reducing the required regulation range of ?1 circuits elements In built resonant amplifiers as compared to the traditional calculation methods assuming lossless capacitors and inductor. This advantage is important, in particular, for long- and medium-wave transistor power amplifiers, where capacitances in ?1 circuits are high comparing to typical trimming capacitors.

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Authors and Affiliations

Juliusz Modzelewski
Katarzyna Kulma
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Abstract

In this work, we have developed a new 4-D dynamical system with hyperchaos and hidden attractor. First, by introducing a feedback input control into the 3-D Ma chaos system (2004), we obtain a new 4-D hyperchaos system with no equilibrium point. Thus, we derive a new hyperchaos system with hidden attractor. We carry out an extensive bifurcation analysis of the newhyperchaos model with respect to the three parameters.We also carry out probability density distribution analysis of the new hyperchaotic system. Interestingly, the new nonlinear hyperchaos system exhibits multistability with coexisting attractors.Next,we discuss global hyperchaos selfsynchronization for the newhyperchaos system via Integral Sliding Mode Control (ISMC). As an engineering application, we realize the new 4-D hyperchaos system with an electronic circuit via MultiSim. The outputs of the MultiSim hyperchaos circuit show good match with the numerical MATLAB plots of the hyperchaos model. We also analyze the power spectral density (PSD) of the hyperchaos of the state variables using MultiSim.
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Authors and Affiliations

Sundarapandian Vaidyanathan
1
Shaobo He
2
Aceng Sambas
3

  1. School of Electrical and Computing, Vel Tech University, 400 Feet Outer Ring Road, Avadi, Chennai-600092, Tamil Nadu, India
  2. School of Physics and Electronics, Central South University, Changsha, 410083, China
  3. Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya 46196, West Java, Indonesia

Abstract

We study an elegant snap system with only one nonlinear term, which is a quadratic nonlinearity. The snap systemdisplays chaotic attractors,which are controlled easily by changing a system parameter. By using analysis, simulations and a real circuit, the dynamics of such a snap system has been investigated. We also investigate backstepping based adaptive control schemes for the new snap system with unknown parameters.

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Abstract

A new 4-D dynamical system with hyperchaos is reported in this work. It is shown that the proposed nonlinear dynamical system with hyperchaos has no equilibrium point. Hence, the new dynamical system exhibits hidden hyperchaotic attractor. An in-depth dynamic analysis of the new hyperchaotic system is carried out with bifurcation transition diagrams, multistability analysis, period-doubling bubbles and offset boosting analysis. Using Integral Sliding Mode Control (ISMC), global hyperchaos synchronization results of the new hyperchaotic system are described in detail. Furthermore, an electronic circuit realization of the new hyperchaotic system has been simulated in MultiSim software version 13.0 and the results of which are in good agreement with the numerical simulations using MATLAB.

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Authors and Affiliations

Sundarapandian Vaidyanathan
Irene M. Moroz
Aceng Sambas
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Abstract

In this work, we modify the dynamics of 3-D four-wing Li chaotic system (Li et al. 2015) by introducing a feedback controller and obtain a new 4-D hyperchaotic four-wing system with complex properties. We show that the new hyperchaotic four-wing system have three saddle-foci balance points, which are unstable. We carry out a detailed bifurcation analysis for the new hyperchaotic four-wing system and show that the hyperchaotic four-wing system has multistability and coexisting attractors. Using integral sliding mode control, we derive new results for the master-slave synchronization of hyperchaotic four-wing systems. Finally, we design an electronic circuit using MultiSim for real implementation of the new hyperchaotic four-wing system.
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Authors and Affiliations

Sundarapandian Vaidyanathan
1
Khaled Benkouider
2
Aceng Sambas
3
Samy Abdelwahab Safaan
4 5

  1. School of Electrical and Computing, Vel Tech University, 400 Feet Outer Ring Road, Avadi, Chennai-600092, Tamil Nadu, India
  2. Non Destructive Testing Laboratory, Automatic Department, Jijel University, BP 98, 18000, Jijel, Algeria
  3. Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya 46196, West Java, Indonesia
  4. Department of Natural and Applied Sciences, Community College of Buraydah, Qassim University, Buraydah, 52571, Saudi Arabia
  5. Nile Higher Institute for Commercial Science and Computer Technology, Mansoura, 35511, Egypt

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