Abstract

This paper presents the sum of squares (SOS)-based fuzzy control with H∞ performance for a synchronized chaos system and secure communications. To diminish the influence of the extrinsic perturbation, SOS-based stability criteria of the polynomial fuzzy system are derived by using the polynomial Lyapunov function. The perturbation decreasing achievement is indexed in a H∞ criterion. The submitted SOS-based stability criteria are more relaxed than the existing linear matrix inequality (LMI)-based stability criteria. The cryptography scheme based on an n-shift cipher is combined with synchronization for secure communications. Finally, numerical simulations illustrate the perturbation decay accomplishment of the submitted polynomial fuzzy compensator.

Highlights

  • In recent years, the studies on synchronization of chaos systems have acquired substantial attention

  • This paper proposes two novel theorems and the contributions of this article are summarized as follows

  • Using the property of a chaotic system, which is excessively reactive to original states, the chaos system can be applied to secure communications

Read more

Summary

Introduction

The studies on synchronization of chaos systems have acquired substantial attention. This paper employs a polynomial Lyapunov function to acquire the sum of squares (SOS)-based stability criteria of chaotic synchronization systems to reduce the conservativeness of the LMI-based stability criteria. In [17], polynomial Lyapunov functions are designed by introducing a gradient algorithm without applying the typical transformation so that the polynomial fuzzy controller with SOS stability conditions was received. In [18], the message and character of membership functions are deliberated in the SOS-based stability design of (interval type 2) IT2 polynomial-fuzzy-model-based control systems. In [21], using the Lyapunov function and the S-procedure, SOS-based stability criteria are received for uncertain large-scale polynomial T–S fuzzy systems. Based on the above observations from the literature, this paper takes extrinsic perturbation into account to synthesize the H∞ control of polynomial fuzzy chaos synchronization systems.

Methods
Polynomial Fuzzy Chaos System with Extrinsic Perturbation
Polynomial Fuzzy Compensator Gain
Polynomial Fuzzy Compensated Chaos System
Sum of Squares
Chaotic Synchronization
Case 1
Case 2
Chaotic Secure Communications
Results
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call