1041- The Bidirectional Coupled Synchronization of Chaotic System Using Finite-time Control

مقاله شبیه سازی شده

کد پروژه: 1041

 

موضوع:سنکرون سازی آشوبی

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

The Bidirectional Coupled Synchronization of Chaotic System Using Finite-time Control

 

EndNote

T. Ren, et al., "The Bidirectional Coupled Synchronization of Chaotic System Using Finite-time Control," in Chaos-Fractals Theories and Applications (IWCFTA), 2012 Fifth International Workshop on, 2012, pp. 278-282.

 

Abstract

In this paper, the finite-time control method is proposed to achieve synchronization based on bidirectional coupled chaotic systems. The stability criteria is presented for error system based on Lyapunov method. Compared to other results, the proposed controller is simpler and the new nonlinear system is considered which is consisted of the chaos system and the finite time controller. The Wolf method is used to calculate the largest Lyapunov exponent which shows that the controlled chaos system remains chaotic features. Simulation results for Lorenz system are presented to illustrate the effectiveness of the finite-time synchronization control scheme

 

Keywords

Lyapunov methods; chaos; control system synthesis; nonlinear control systems; stability; synchronisation

 

سفارش پروژه

1063- A Noise Resistant Synchronization method and its application in chaoticradar

مقاله شبیه سازی شده

کد پروژه: 1063

 

موضوع: سنکرون سازی سیستم آشوبی (کیاتیک)     

 

شامل: مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab + گزارش شبیه سازی Word و فایل ارائه پاورپوینت PPT

 

عنوان مقاله:

 

A Noise Resistant Synchronization method and its application in chaoticradar

Address: ieeexplore

 

 

Abstract

A new synchronization control method for chaotic system, which only needs one scalar time series of the master system to reach the synchronization, is present in this paper. It is robust to noise and the synchronization can be obtained in a high level noise. This method is then used in noise radar system to get the target range resolution. Finally, numerical examples are given to illustrate when using the robust chaotic synchronization method, signal, the correlation performance has a clear peak, which makes it easy to get the target range resolution.

Keywords

Chaos, Synchronization, Noise radar

 

سفارش پروژه

1060- Nonlinear feedback synchronization control of a new four-dimensional hyperchaotic Chen system

مقاله شبیه سازی شده

کد پروژه: 1060

 

موضوع: سنکرون سازی سیستم آشوبی (کیاتیک) - Adaptive Control  کنترل تطبیقی    

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

 

Nonlinear feedback synchronization control of a new four-dimensional hyperchaotic Chen system with disturbances

Address: researchgate

 

 

ABSTRACT

Based on nonlinear feedback control method and Lyapunov stability theory, the nonlinear controller and the adaptive laws for unknown parameters of the response system are obtained to achieve the synchronization of the new coupled four-dimensional hyperchaotic Chen system with disturbances. Numerical simulation results are presented to illustrate the effectiveness of this method.

Keywords

nonlinear feedback control; hyperchaotic Chensystem; Lyapunov stability theory

 

سفارش پروژه

1059- Analysis, control, synchronization, and circuit design of a novel chaotic system

مقاله شبیه سازی شده

کد پروژه: 1059

 

موضوع: سنکرون سازی سیستم آشوبی (کیاتیک) - Adaptive Control  کنترل تطبیقی    

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

 

Analysis, control, synchronization, and circuit design of a novel chaotic system

Address: sciencedirect

 

 

Abstract

This article introduces a novel three-dimensional autonomous chaotic system with a single cubic nonlinearity. Several issues, such as the basic dynamical behaviour, equilibria, Lyapunov exponent spectrum, and bifurcations of the new chaotic system, are investigated analytically and numerically. Next, adaptive control laws are designed to stabilize the new chaotic system with unknown parameters to its unstable equilibrium point at the origin, based on adaptive control theory and Lyapunov stability theory. Then, adaptive control laws are derived to achieve global chaos synchronization of identical new chaotic systems with unknown parameters. Further to these, a novel electronic circuit realization of the proposed chaotic system is presented and examined using the Orcad-PSpice® program. It is convenient to use the new chaotic system to purposefully generate chaos in chaos applications. A good qualitative agreement is shown between the simulations and the experimental results.

 

Keywords

Chaos; Adaptive control; Synchronization; Chaotic circuit; Oscillator 

سفارش پروژه

1058- Chaos synchronization of a new hyperchaotic system

مقاله شبیه سازی شده

کد پروژه: 1058

 

موضوع: سنکرون سازی سیستم آشوبی (کیاتیک)

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab 

 

عنوان مقاله:

 

Chaos synchronization of a new hyperchaotic system

Address: sciencedirect

 

 

Abstract

In this paper, two kinds of synchronization schemes for a new hyperchaotic system are presented. Firstly, on the basis of stability criterion of linear system, synchronization is achieved with the help of the active control theory. Secondly, a nonlinear controller is designed according to Lyapunov stability theory to assure that synchronization can be achieved. Furthermore, an adaptive control approach for synchronization of uncertain hyperchaotic systems is proposed. Finally numerical simulations are provided to show the effectiveness and feasibility of the developed methods.

 

Keywords

Synchronization; Hyperchaotic system; Active control theory; Lyapunov stability theory

 

سفارش پروژه

1004- Parameter identification of chaotic dynamic systems throughan improved particle swarm optimiza

مقاله شبیه سازی شده

کد پروژه: 1004

 

موضوع:الگوریتم pso و سیستم آشوب

 

شامل:مقاله اصلی + فایل شبیه سازی با نرم افزار متلبMatlab +گزارش کامل از خلاصه ای از مقاله و نتایج شبیه سازی

 

عنوان مقاله:

Parameter identification of chaotic dynamic systems throughan improved particle swarm optimization

آدرس:sciencedirect

خلاصه:

Abstract

This paper is concerned with the parameter identification problem for chaotic dynamic systems. An improved particle swarm optimization (IPSO), which is a novel evolutionary computation technique, is proposed to solve this problem. The feasibility of this approach is demonstrated through identifying the parameters of Lorenz chaotic system. The performance of the proposed IPSO is compared with the genetic algorithm (GA) and standard particle swarm optimization (SPSO) in terms of parameter accuracy and computational time. It is illustrated in simulations that the proposed IPSO is more successful than the SPSO and GA. IPSO is also improved to detect and determine the variation of parameters. In this case, a sentry particle is introduced to detect any changes in system parameters and if any change is detected, IPSO runs to find new optimal parameters. Hence, the proposed algorithm is a promising particle swarm optimization algorithm for system identification.

Keywords

Collaborative filtering; Recommender systems; Similarity measures; Metrics; Genetic algorithms; Performance

 

سفارش پروژه