基于replicator dynamics(RD)模型的构建思想,提出了SDN(supply and demand network with mul-tifunction and opening characteristics for enterprise)子网的进化博弈模型,进而构造出了合作博弈策略混沌演化的数学模型。在RD模型的局...基于replicator dynamics(RD)模型的构建思想,提出了SDN(supply and demand network with mul-tifunction and opening characteristics for enterprise)子网的进化博弈模型,进而构造出了合作博弈策略混沌演化的数学模型。在RD模型的局部稳定点分析基础上,利用该数学模型生成了合作博弈的混沌演化模拟图,通过博弈的混沌演化模拟,从混沌演化的角度深入探讨了ESS的动态形成过程,佐证了SDN子网的混沌演化规律,验证了不同博弈阶段的子网结构也同样经历混沌的演化过程。这有助于预测SDN及其子网中群体行为的变化趋势,同时对进化博弈理论的动态研究也有一定的参考价值。展开更多
A discrete observer-based repetitive control(RC) design method for a linear system with uncertainties was presented based on two-dimensional(2D) system theory. Firstly, a 2D discrete model was established to describe ...A discrete observer-based repetitive control(RC) design method for a linear system with uncertainties was presented based on two-dimensional(2D) system theory. Firstly, a 2D discrete model was established to describe both the control behavior within a repetition period and the learning process taking place between periods. Next, by converting the designing problem of repetitive controller into one of the feedback gains of reconstructed variables, the stable condition was obtained through linear matrix inequality(LMI) and also the gain coefficient of repetitive system. Numerical simulation shows an exceptional feasibility of this proposal with remarkable robustness and tracking speed.展开更多
文摘基于replicator dynamics(RD)模型的构建思想,提出了SDN(supply and demand network with mul-tifunction and opening characteristics for enterprise)子网的进化博弈模型,进而构造出了合作博弈策略混沌演化的数学模型。在RD模型的局部稳定点分析基础上,利用该数学模型生成了合作博弈的混沌演化模拟图,通过博弈的混沌演化模拟,从混沌演化的角度深入探讨了ESS的动态形成过程,佐证了SDN子网的混沌演化规律,验证了不同博弈阶段的子网结构也同样经历混沌的演化过程。这有助于预测SDN及其子网中群体行为的变化趋势,同时对进化博弈理论的动态研究也有一定的参考价值。
基金Project(61104072) supported by the National Natural Science Foundation of China
文摘A discrete observer-based repetitive control(RC) design method for a linear system with uncertainties was presented based on two-dimensional(2D) system theory. Firstly, a 2D discrete model was established to describe both the control behavior within a repetition period and the learning process taking place between periods. Next, by converting the designing problem of repetitive controller into one of the feedback gains of reconstructed variables, the stable condition was obtained through linear matrix inequality(LMI) and also the gain coefficient of repetitive system. Numerical simulation shows an exceptional feasibility of this proposal with remarkable robustness and tracking speed.
