نتایج جستجو برای: chaotic function

تعداد نتایج: 1234779  

2010
Zeraoulia Elhadj Julien Clinton Sprott

This paper introduces the dynamical behaviors of a unified nonlinear chaotic system which describes a two-family chaotic system containing the original Lorenz and the original Chua systems as two extremes and some other systems as a transition in between via a new constructed joint function. This system can display two kinds of attractors, those with one scroll and those with two scrolls.

2015
Roman Senkerik Michal Pluhacek Donald Davendra Ivan Zelinka Zuzana Komínková Oplatková

This paper investigates the utilization of the timecontinuous chaotic system, which is UEDA oscillator, as the chaotic pseudo random number generator. (CPRNG). Repeated simulations were performed investigating the influence of the oscillator sampling time to the selected heuristic, which is differential evolution algorithm (DE). Initial experiments were performed on the selected test function i...

Ali Khaki Sedigh Ensieh Nobakhti,

The problem discussed in this paper is the effect of latency time on the OGY chaos control methodology in multi chaotic systems. The Smith predictor, rhythmic and memory strategies are embedded in the OGY chaos control method to encounter loop latency. A comparison study is provided and the advantages of the Smith predictor approach are clearly evident from the closed loop responses. The comple...

2001
Arnd Bäcker Roman Schubert

We study the autocorrelation function of different types of eigenfunctions in quantum mechanical systems with either chaotic or mixed classical limits. We obtain an expansion of the autocorrelation function in terms of the correlation length. For localized states, like bouncing ball modes or states living on tori, a simple model using only classical input gives good agreement with the exact res...

2006
Toshihiro Arai Yuko Osana

In this paper, we propose a Hetero Chaotic Associative Memory for Successive Learning (HCAMSL) with give up function. The proposed model is based on a Chaotic Associative Memory for Successive Memory (CAMSL). In the proposed HCAMSL, the learning process and the recall process are not divided. When an unstored pattern is given to the network, the HCAMSL can learn the pattern successively.

Journal: :Optics letters 1983
R Saxena G S Agarwal

The effects of fluctuation associated with chaotic fields on degenerate four-wave mixing are studied. The chaotic field phase conjugates more efficiently than the single-mode coherent light for both weak and strong fields, the reflectivity being enhanced by a factor of 2 in the former case. The fluctuations are also shown to have a significant effect on reflectivity as a function of detuning.

Journal: :Chaos 2008
Tingwen Huang Chuandong Li Xinzhi Liu

This paper investigates the synchronization of coupled chaotic systems with time delay by using intermittent linear state feedback control. An exponential synchronization criterion is obtained by means of Lyapunov function and differential inequality method. Numerical simulations on the chaotic Ikeda and Lu systems are given to demonstrate the effectiveness of the theoretical results.

2006
Yingying Yin Liang Sun Xiaogang Ruan

The paper studies the problem of constructing multicast trees to meet the quality of service requirements of real-time interactive applications operating in high-speed packet-switched environments. A new delay and delay variation constrained energy function is proposed and adopted to chaotic neural networks to solve QoS multicast routing problem. The emulation verifies that the energy function ...

Journal: :iranian journal of science and technology (sciences) 2015
g. hassanifard

chaotic systems are nonlinear dynamic systems, the main feature of which is high sensitivity to initial conditions. to initiate a design process in fuzzy model, chaotic systems must first be represented by t-s fuzzy models. in this paper, a new fuzzy modeling method based on sector nonlinearity approach has been recommended for chaotic systems relating to initial condition variations using the ...

Journal: :JCP 2013
Lisheng Yin Yigang He Xueping Dong Zhaoquan Lu

With the analysis of the technology of phase space reconstruction, a modeling and forecasting technique based on the Radial Basis Function (RBF) neural network for chaotic time series is presented in this paper. The predictive model of chaotic time series is established with the adaptive RBF neural networks and the steps of the chaotic learning algorithm with adaptive RBF neural networks are ex...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید