Dynamical Analysis and FPGA Implementation of a Novel Hyperchaotic System and Its Synchronization Using Adaptive Sliding Mode Control and Genetically Optimized PID Control

Joint Authors

Rajagopal, Karthikeyan
Karthikeyan, Anitha
Guessas, Laarem
Srinivasan, Ashokkumar
Vaidyanathan, Sundarapandian

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-19

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

We announce a new 4D hyperchaotic system with four parameters.

The dynamic properties of the proposed hyperchaotic system are studied in detail; the Lyapunov exponents, Kaplan-Yorke dimension, bifurcation, and bicoherence contours of the novel hyperchaotic system are derived.

Furthermore, control algorithms are designed for the complete synchronization of the identical hyperchaotic systems with unknown parameters using sliding mode controllers and genetically optimized PID controllers.

The stabilities of the controllers and parameter update laws are proved using Lyapunov stability theory.

Use of the optimized PID controllers ensures less time of convergence and fast synchronization speed.

Finally the proposed novel hyperchaotic system is realized in FPGA.

American Psychological Association (APA)

Rajagopal, Karthikeyan& Guessas, Laarem& Vaidyanathan, Sundarapandian& Karthikeyan, Anitha& Srinivasan, Ashokkumar. 2017. Dynamical Analysis and FPGA Implementation of a Novel Hyperchaotic System and Its Synchronization Using Adaptive Sliding Mode Control and Genetically Optimized PID Control. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1191743

Modern Language Association (MLA)

Rajagopal, Karthikeyan…[et al.]. Dynamical Analysis and FPGA Implementation of a Novel Hyperchaotic System and Its Synchronization Using Adaptive Sliding Mode Control and Genetically Optimized PID Control. Mathematical Problems in Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1191743

American Medical Association (AMA)

Rajagopal, Karthikeyan& Guessas, Laarem& Vaidyanathan, Sundarapandian& Karthikeyan, Anitha& Srinivasan, Ashokkumar. Dynamical Analysis and FPGA Implementation of a Novel Hyperchaotic System and Its Synchronization Using Adaptive Sliding Mode Control and Genetically Optimized PID Control. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1191743

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1191743