中文摘要：

基于参数切换算法和离散混沌系统,设计一种新的混沌系统参数切换算法,给出了两算法的原理.采用混沌吸引子相图观测法,研究了不同算法下统一混沌系统和R（o｜¨）ssler混沌系统参数切换结果,最后引入方波发生器,设计了R（o｜¨）ssler混沌系统参数切换电路.结果表明,采用参数切换算法可以近似出指定参数下的系统,其吸引子与该参数下吸引子一致;基于离散系统的参数切换结果更为复杂,当离散序列分布均匀时,只可近似得到指定参数下的系统;相比传统切换混沌电路,参数切换电路不用修改原有系统电路结构,设计更为简单,输出结果受方波频率影响,通过加入合适频率的方波发生器,数值仿真与电路仿真结果一致.

英文摘要：

Based on the parameter switching algorithm and the discrete chaotic system,＇ a new chaotic system based parameter switching algorithm is proposed.The principles of parameter switching algorithm and chaotic system based parameter switching algorithm are presented in detail by means of flow chart and step description.By applying phase diagram observation method,chaotic attractor approximation of the unified chaotic system is investigated based on parameter switching algorithm and chaotic system based parameter switching algorithm.It shows that chaos can be obtained by switching two periodic parameters and periodic state can be observed by switching two chaotic parameters.Thus the formulas chaos ＋ chaos = periodic and period ＋ period = chaos are proved to be workable in this paper.Chaotic attractor approximation of R（o｜¨）ssler chaotic system is also studied by employing the two switching methods.Two cases are investigated.Firstly,a chaotic switching system is obtained by switching a chaotic parameter and a periodic parameter.Then a more complex switching scheme is carried out.Periodic system is switched by two periodic parameters and a chaotic parameter.So,the formulas chaos ＋ periodic = chaos and periodic ＋ period ＋ chaos = periodic are proved to be workable.It shows that the switching system is the approximation of the original system under specified parameter,and the attractor is in accordance with the attractor of the targeting system.The outputs of the Logistic map based parameter switching algorithm are more complex than those of existing parameter switching algorithm.As the distribution of logistic map is not uniform,the approximate attractor does not consist of the targeting system and shows more complicated structure.But approximate attractors can be obtained when the distribution of discrete sequence is uniform.In addition,the chaotic map based parameter switching algorithm has larger secret key space since it has the initial values and parameter of the chaotic map.Finally,the parameter