系统的网络拓扑结构有任何的变化时,系统的节点导纳矩阵就会相应变化。网络固有结构理论(ISTN:the in-herent structure theory of network)正是通过对系统的节点导纳矩阵分解,结合灵敏度法分析系统结构的变化与系统节点状态的关系。提...系统的网络拓扑结构有任何的变化时,系统的节点导纳矩阵就会相应变化。网络固有结构理论(ISTN:the in-herent structure theory of network)正是通过对系统的节点导纳矩阵分解,结合灵敏度法分析系统结构的变化与系统节点状态的关系。提出了主导特征值的选取范围,简化了计算元素。通过建立系统各次谐波的节点导纳矩阵,求解对应的灵敏度矩阵,并运用该理论寻找配电网中各次谐波滤波器的最佳配置位置的候选节点集,以所有节点的电压谐波和电压失真的目标函数值最小确定配电网中集中配置滤波器的最佳位置。对实例分析计算的数据证明该方法的准确性。展开更多
This paper presents a new method for finding the natural frequency set of a linear time invariant network. In the paper deriving and proving of a common equation are described. It is for the first time that in the co...This paper presents a new method for finding the natural frequency set of a linear time invariant network. In the paper deriving and proving of a common equation are described. It is for the first time that in the common equation the natural frequencies of an n th order network are correlated with the n port parameters. The equation is simple and dual in form and clear in its physical meaning. The procedure of finding the solution is simplified and standardized, and it will not cause the loss of roots. The common equation would find wide use and be systematized.展开更多
This paper proposes a design of internal model control systems for process with delay by using support vector regression(SVR).The proposed system fully uses the excellent nonlinear estimation performance of SVR with t...This paper proposes a design of internal model control systems for process with delay by using support vector regression(SVR).The proposed system fully uses the excellent nonlinear estimation performance of SVR with the structural risk minimization principle.Closed-system stability and steady error are analyzed for the existence of modeling errors.The simulations show that the proposed control systems have the better control performance than that by neural networks in the cases of the training samples with small size and noises.展开更多
Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillato...Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillators. The influence of network connectivity heterogeneity on synchronization depends particularly on the correlation between natural frequencies and node degrees. This finding implies a potential application that inhibiting the effects caused by the changes of network structure can be bManced out nicely by choosing the correlation parameter appropriately.展开更多
文摘系统的网络拓扑结构有任何的变化时,系统的节点导纳矩阵就会相应变化。网络固有结构理论(ISTN:the in-herent structure theory of network)正是通过对系统的节点导纳矩阵分解,结合灵敏度法分析系统结构的变化与系统节点状态的关系。提出了主导特征值的选取范围,简化了计算元素。通过建立系统各次谐波的节点导纳矩阵,求解对应的灵敏度矩阵,并运用该理论寻找配电网中各次谐波滤波器的最佳配置位置的候选节点集,以所有节点的电压谐波和电压失真的目标函数值最小确定配电网中集中配置滤波器的最佳位置。对实例分析计算的数据证明该方法的准确性。
文摘This paper presents a new method for finding the natural frequency set of a linear time invariant network. In the paper deriving and proving of a common equation are described. It is for the first time that in the common equation the natural frequencies of an n th order network are correlated with the n port parameters. The equation is simple and dual in form and clear in its physical meaning. The procedure of finding the solution is simplified and standardized, and it will not cause the loss of roots. The common equation would find wide use and be systematized.
文摘This paper proposes a design of internal model control systems for process with delay by using support vector regression(SVR).The proposed system fully uses the excellent nonlinear estimation performance of SVR with the structural risk minimization principle.Closed-system stability and steady error are analyzed for the existence of modeling errors.The simulations show that the proposed control systems have the better control performance than that by neural networks in the cases of the training samples with small size and noises.
基金Supports by the National Natural Science Foundation of China under Grant Nos.11105095,11074184,11204197,11005077,11205111the Natural Science Foundation of Higher Education Institutions of Jiangsu Province under Grant No.11KJB140008the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)
文摘Synchronization of Kuramoto phase oscillators arranged in real complex neural networks is investigated. It is shown that the synchronization greatly depends on the sets of natural frequencies of the involved oscillators. The influence of network connectivity heterogeneity on synchronization depends particularly on the correlation between natural frequencies and node degrees. This finding implies a potential application that inhibiting the effects caused by the changes of network structure can be bManced out nicely by choosing the correlation parameter appropriately.
