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31.
Stochastic chaos synchronization using Unscented Kalman-Bucy Filter and sliding mode control 总被引:1,自引:0,他引:1
Mahdi HeydariHassan Salarieh Mehdi Behzad 《Mathematics and computers in simulation》2011,81(9):1770-1784
This paper presents an algorithm for synchronizing two different chaotic systems by using a combination of Unscented Kalman-Bucy Filter (UKBF) and sliding mode controller. It is assumed that the drive chaotic system is perturbed by white noise and shows stochastic chaotic behavior. In addition the output of the system does not contain the whole state variables of the system, and it is also affected by some independent white noise. By combining the UKBF and the sliding mode control, a synchronizing control law is proposed. Simulation results show the ability of the proposed method in synchronizing chaotic systems in presence of noise. 相似文献
32.
Chaos control and associative memory of a time-delay globally coupled neural network using symmetric map 总被引:1,自引:0,他引:1
Tao WangAuthor Vitae Kejun WangAuthor VitaeNuo JiaAuthor Vitae 《Neurocomputing》2011,74(10):1673-1680
A chaotic neural network called time-delay globally coupled neural network using symmetric map (TDSG) is proposed for information processing applications. Firstly, its rich dynamic behaviors are exhibited and the output stability is demonstrated by using a parameter modulated control method. Secondly, the associative memory of TDSG is investigated by the control method. It is observed that the stable output sequence only contains stored pattern and its reverse pattern and the TDSG finally converges to the stored pattern which has the smallest Hamming distance to the initial patterns with noise. At last, strong information recovery ability of the TDSG is illustrated by comparative experiments. 相似文献
33.
在图像传输的过程中,图像加密技术起着重要作用。本文介绍了目前常用的图像加密方法、加密技术的发展现状,同时还介绍了图像加密方面的新技术、新方法,并阐述了图像加密技术的发展趋势。 相似文献
34.
Diffusionless Lorenz equations (DLE) are a simple one-parameter version of the well-known Lorenz model, which was obtained in the limit of high Rayleigh and Prandtl numbers, physically corresponding to diffusionless convection. A simple control method is presented to control chaos by using periodic parameter perturbation in DLE. By using the generalized Melnikov method, the parameter conditions could be obtained to guide the controlled DLE to a low-periodic motion. Moreover, the existence conditions of periodic orbits and homoclinic orbits in the system are given. Some results of the numerical simulation are also explained clearly by a rigorous analysis. 相似文献
35.
This paper presents a novel quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems via H∞ approach. In the proposed algorithm, a self-constructing neural fuzzy network (SCNFN) is developed with both structure and parameter learning phases, so that the number of fuzzy rules and network parameters can be adaptively determined. Based on the SCNFN, an uncertainty observer is first introduced to watch compound system uncertainties. Subsequently, an optimal NFN-based controller is designed to overcome the effects of unstructured uncertainty and approximation error by integrating the NFN identifier, linear optimal control and H∞ approach as a whole. The adaptive tuning laws of network parameters are derived in the sense of quadratic stability technique and Lyapunov synthesis approach to ensure the network convergence and H∞ synchronization performance. The merits of the proposed control scheme are not only that the conservative estimation of NFN approximation error bound is avoided but also that a suitable-sized neural structure is found to sufficiently approximate the system uncertainties. Simulation results are provided to verify the effectiveness and robustness of the proposed control method. 相似文献
36.
37.
In a population-based meta-heuristic, the search process is divided into two main phases: exploration versus exploitation. In the exploration phase, a random behavior is fruitful to explore the search space as extensive as possible. In contrast, a fast exploitation toward the promising regions is the main objective of the latter phase. It is really challenging to find a proper balance between these two phases because of the stochastic nature of population-based meta-heuristic algorithms. The literature shows that chaotic maps are able to improve both phases. This work embeds ten chaotic maps into the gravitational constant (G) of the recently proposed population-based meta-heuristic algorithm called Gravitational Search Algorithm (GSA). Also, an adaptive normalization method is proposed to transit from the exploration phase to the exploitation phase smoothly. As case studies, twelve shifted and biased benchmark functions evaluate the performance of the proposed chaos-based GSA algorithms in terms of exploration and exploitation. A statistical test called Wilcoxon rank-sum is done to judge about the significance of the results as well. The results demonstrate that sinusoidal map is the best map for improving the performance of GSA significantly. 相似文献
38.
39.
提出了一种基于独立任务的改进PSO网格调度算法(MCPSO)。该算法结合粒子群优化算法和混沌机制,在保证寻优速度的同时又能兼顾"跳出"局部最优的能力。实验结果表明,与基本粒子群优化算法相比,该算法具有更好的收敛速度和求解质量。 相似文献
40.
翁妙凤 《小型微型计算机系统》2001,22(8):971-972
对镇定一嵌入在Lorenz混沌吸引子内的不稳定平衡点上的混沌轨道提出了一种利用进化RBF网控制混沌系统的新方法,采用了基于两层编码改进进化规划(IEP)的RBF网学习算法,要以同时确定网络的拓扑结构和参数,仿真结果表明本文控制Lorenz混沌响应速度快,控制精度高。 相似文献