Hopf bifurcation and chaos control in a new chaotic system via hybrid control strategy

In this paper, we investigate the problem of Hopf bifurcation and chaos control in a new chaotic system. A hybrid control strategy using both state feedback and parameter control is proposed. Theoretical analysis shows that the Hopf bifurcation critical value can be changed via hybrid control. Meanwhile, this control strategy can also control the chaos state. The direction and stability of bifurcating periodic solutions are determined by the normal form theory and the center manifold theorem. Finally, numerical simulations are carried out to illustrate the effectiveness of the main theoretical results.     

一种新型高鲁棒性动网格技术及其应用

首先对四元数进行李代数空间指数映射,解决了多个四元数插值问题,并结合距离倒数插值方法实现网格边界扰动向空间网格的传播,建立了新型高鲁棒性的四元数变形网格技术. 针对该型动网格技术中由于大型矩阵运算量引起的运算效率低问题,同时利用四元数方法在动网格变形中具备与物面边界高阶一致性的特点,提出了分层次变形策略,避免了面向全流场网格节点的大型矩阵运算;进一步基于无限插值技术较强的逻辑保持能力,建立了面向结构网格分层混合变形方法. 充分利用多区域重叠、对接网格变形技术中隐含的并行性,基于对等式编程思想及MPI 库函数对动网格程序进行并行化编程,建立了高效高鲁棒性的变形网格技术. 以某型客机翼身组合体气动弹性分析为范例,研究了不同方法之间的计算效率以及鲁棒性,进一步将分层混合变形网格技术应用于某型支线客机全机型架外形设计与修正,验证了所建立的新型动网格技术的高效性与鲁棒性.      

宁波市本土连锁超市发展战略探析

在外资连锁超市纷纷入驻宁波的今天,宁波连锁超市业已形成了本土与外资对峙的局面.笔者从外部经济、竞争优势、环境趋势3个方面分析了宁波连锁超市发展现状,并探讨了本土连锁超市的发展战略.     

基于双边市场理论的金融超市竞争定价策略研究

基于双边市场理论,重点分析金融超市在双寡头垄断情形下的竞争定价策略。即在在一般定价模型的基础上,构建起加入金融超市双边用户交易次数为歧视标准的价格歧视竞争模型。并且围绕金融超市追求长期利益和短期利益两种不同动机,对采取该策略均衡时最终用户的均衡进入价格、金融超市利润和市场份额进行比较分析。最后,给出金融超市实施价格歧视策略的对策和建议。     

随机需求下有产能约束的技术创新策略研究

在随机需求和技术变革的环境下,基于有产能约束的单供应商-单零售商的供应链结构,研究供应商分销价格决策和技术创新策略以及零售商订货决策。建立了三阶段Stackelberg博弈模型,通过逆推方法求得了供应商最优分销价格和技术创新策略以及零售商最优订货量,深入探讨了供应商产能、新技术出现概率以及市场需求期望与波动分别对供应商、零售商和供应链整体利润的影响。结果表明当供应商产能不足时进行技术创新会提高供应商和供应链的利润,但零售商因间接承担供应商技术创新的投资成本而利润下降;当供应商产能过剩时进行技术创新则会降低供应商及供应链的利润,而零售商的利润增加。新技术出现概率增加会提高供应链各成员的利润;提高市场需求期望并减小市场波动对供应商及供应链有利,但可能会降低零售商的利润。     

基于鲁棒优化的灰色业务流程识别与外包策略

在运营管理过程中,决策者需要对业务流程“核心与非核心”的属性进行识别以相应地采用完全所有权或市场采购的模式。本文研究了不能被准确识别的“灰色业务流程”的模式选择,考虑了外部采购、联合开发(或部分所有权)与完全所有权的生产模式选择。根据不同模式之间的特征设计动态的外包策略与选择时机,应用鲁棒优化分析外包策略的相对遗憾。研究结果显示:在外包策略选择后,如灰色业务转变为非核心流程,转变时机越早外包策略的相对遗憾越大;如灰色业务转变为核心流程,相对遗憾随转变时机延迟而增加。在最坏情形下,策略的相对遗憾上界为1。     

再保险-投资的M-V及M-VaR最优策略

考虑保险公司再保险-投资问题在均值-方差(M-V)模型和均值-在险价值(M-VaR)模型下的最优常数再调整策略.在保险公司盈余过程服从扩散过程的假设及多风险资产的Black-Scholes市场条件下,分别得到均值-方差模型和均值-在险价值模型下保险公司再保险-投资问题的最优常数再调整策略及共有效前沿,并就两种模型下的结...     

Krylov subspace methods of Hessenberg based for algebraic Riccati equation

In this paper, we propose a class of special Krylov subspace methods to solve continuous algebraic Riccati equation (CARE), i.e., the Hessenberg-based methods. The presented approaches can obtain efficiently the solution of algebraic Riccati equation to some extent. The main idea is to apply Kleinman-Newton"s method to transform the process of solving algebraic Riccati equation into Lyapunov equation at every inner iteration. Further, the Hessenberg process of pivoting strategy combined with Petrov-Galerkin condition and minimal norm condition is discussed for solving the Lyapunov equation in detail, then we get two methods, namely global generalized Hessenberg (GHESS) and changing minimal residual methods based on the Hessenberg process (CMRH) for solving CARE, respectively. Numerical experiments illustrate the efficiency of the provided methods.     

Quadratic harvesting dominated optimal strategy for a stochastic single-species model

A stochastic population model with the mixed harvesting strategy is formulated and studied in this paper. Sufficient and necessary conditions for survival of the species are derived firstly. Then, based on the ergodic stationary distribution, the optimal strategy is identified. Results show that the linear harvesting effort threatens to the survival of the species; the quadratic harvesting strategy occupies an absolute advantage in the harvesting and excludes the linear part out of the optimal harvesting strategy. It''s interest to see all these occur only in the random environments. Computer simulations are carried out to support the obtained results.     

Threshold Dynamics of an Epidemic Model with Latency and Vaccination in a Heterogeneous Habitat

In this paper, we derive and analyze a nonlocal and time-delayed reaction-diffusion epidemic model with vaccination strategy in a heterogeneous habitat. First, we study the well-posedness of the solutions and prove the ex- istence of a global attractor for the model by applying some existing abstract results in dynamical systems theory. Then we show the global threshold dynamics which predicts whether the disease will die out or persist in terms of the basic reproduction number R 0 defined by the spectral radius of the next generation operator. Finally, we present the influences of heterogeneous spatial infections, diffusion coefficients and vaccination rate on the spread of the disease by numerical simulations.