Design of control strategies for gene regulatory networks is a challenging and important topic in systems biology. In this paper, the problem of finding both a minimum set of control nodes (control inputs) and a contr...Design of control strategies for gene regulatory networks is a challenging and important topic in systems biology. In this paper, the problem of finding both a minimum set of control nodes (control inputs) and a controller is studied. A control node corresponds to a gene that expression can be controlled. Here, a Boolean network is used as a model of gene regulatory networks, and control specifications on attractors, which represent cell types or states of cells, are imposed. It is important to design a gene regulatory network that has desired attractors and has no undesired attractors. Using a matrix-based representation of BNs, this problem can be rewritten as an integer linear programming problem. Finally, the proposed method is demonstrated by a numerical example on a WNT5A network, which is related to melanoma.展开更多
This paper addresses the problem of the input design of large-scale complex networks.Two types of network components,redundant inaccessible strongly connected component(RISCC)and intermittent inaccessible strongly con...This paper addresses the problem of the input design of large-scale complex networks.Two types of network components,redundant inaccessible strongly connected component(RISCC)and intermittent inaccessible strongly connected component(IISCC)are defined,and a subnetwork called a driver network is developed.Based on these,an efficient method is proposed to find the minimum number of controlled nodes to achieve structural complete controllability of a network,in the case that each input can act on multiple state nodes.The range of the number of input nodes to achieve minimal control,and the configuration method(the connection between the input nodes and the controlled nodes)are presented.All possible input solutions can be obtained by this method.Moreover,we give an example and some experiments on real-world networks to illustrate the effectiveness of the method.展开更多
Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of ...Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of the giant connected component before and after the cascading,which is focused on the giant component,is not appropriate for the distributed PV network because of the big difference between PV generators and large power grid. In this paper,a new index is proposed,the minimum removed nodes number（ MRNN）,which can make the entire system collapse,to evaluate the robustness of PV cloud network system. Simulation results show that MRNN can clearly indicate the system robustness under different parameters.展开更多
文摘Design of control strategies for gene regulatory networks is a challenging and important topic in systems biology. In this paper, the problem of finding both a minimum set of control nodes (control inputs) and a controller is studied. A control node corresponds to a gene that expression can be controlled. Here, a Boolean network is used as a model of gene regulatory networks, and control specifications on attractors, which represent cell types or states of cells, are imposed. It is important to design a gene regulatory network that has desired attractors and has no undesired attractors. Using a matrix-based representation of BNs, this problem can be rewritten as an integer linear programming problem. Finally, the proposed method is demonstrated by a numerical example on a WNT5A network, which is related to melanoma.
基金supported in part by the National Natural Science Foundation of China(U1808205,62173079)the Natural Science Foundation of Hebei Province of China(F2000501005)。
文摘This paper addresses the problem of the input design of large-scale complex networks.Two types of network components,redundant inaccessible strongly connected component(RISCC)and intermittent inaccessible strongly connected component(IISCC)are defined,and a subnetwork called a driver network is developed.Based on these,an efficient method is proposed to find the minimum number of controlled nodes to achieve structural complete controllability of a network,in the case that each input can act on multiple state nodes.The range of the number of input nodes to achieve minimal control,and the configuration method(the connection between the input nodes and the controlled nodes)are presented.All possible input solutions can be obtained by this method.Moreover,we give an example and some experiments on real-world networks to illustrate the effectiveness of the method.
基金supported by the Beijing Municipal Science Technology Commission Research(Z171100000317003)
文摘Currently,the photovoltaic（ PV） cloud network is an important research point in energy Internet. From the perspective of the robustness analysis of PV cloud network,traditional robustness index,the relative size of the giant connected component before and after the cascading,which is focused on the giant component,is not appropriate for the distributed PV network because of the big difference between PV generators and large power grid. In this paper,a new index is proposed,the minimum removed nodes number（ MRNN）,which can make the entire system collapse,to evaluate the robustness of PV cloud network system. Simulation results show that MRNN can clearly indicate the system robustness under different parameters.
