Cascading failures in infrastructure networks have serious impacts on network function.The limited capacity of net-work nodes provides a necessary condition for cascade failure.However,the network capacity cannot be i...Cascading failures in infrastructure networks have serious impacts on network function.The limited capacity of net-work nodes provides a necessary condition for cascade failure.However,the network capacity cannot be infinite in the real net-work system.Therefore,how to reasonably allocate the limited capacity resources is of great significance.In this article,we put forward a capacity allocation strategy based on community structure against cascading failure.Experimental results indi-cate that the proposed method can reduce the scale of cascade failures with higher capacity utilization compared with Motter-Lai(ML)model.The advantage of our method is more obvious in scale-free network.Furthermore,the experiment shows that the cascade effect is more obvious when the vertex load is ran-domly varying.It is known to all that the growth of network capacity can make the network more resistant to destruction,but in this paper it is found that the contribution rate of unit capacity rises first and then decreases with the growth of net-work capacity cost.展开更多
In recent years,with the continuous development of multi-agent technology represented by unmanned aerial vehicle(UAV)swarm,consensus control has become a hot spot in academic research.In this paper,we put forward a di...In recent years,with the continuous development of multi-agent technology represented by unmanned aerial vehicle(UAV)swarm,consensus control has become a hot spot in academic research.In this paper,we put forward a discrete-time consensus protocol and obtain the necessary and sufficient conditions for the second-order consensus of the second-order multi-agent system with a fixed structure under the condition of no saturation input.The theoretical derivation verifies that the two eigenvalues of the Laplacian of the communication network matrix and the sampling period have an important effect on achieving consensus.Then we construct and verify sufficient conditions to achieve consensus under the condition of input saturation constraints.The results show that consensus can be achieved if velocity,position gain,and sampling period satisfy a set of inequalities related to the eigenvalues of the Laplacian matrix.Finally,the accuracy and validity of the theoretical results are proved by numerical simulations.展开更多
文摘Cascading failures in infrastructure networks have serious impacts on network function.The limited capacity of net-work nodes provides a necessary condition for cascade failure.However,the network capacity cannot be infinite in the real net-work system.Therefore,how to reasonably allocate the limited capacity resources is of great significance.In this article,we put forward a capacity allocation strategy based on community structure against cascading failure.Experimental results indi-cate that the proposed method can reduce the scale of cascade failures with higher capacity utilization compared with Motter-Lai(ML)model.The advantage of our method is more obvious in scale-free network.Furthermore,the experiment shows that the cascade effect is more obvious when the vertex load is ran-domly varying.It is known to all that the growth of network capacity can make the network more resistant to destruction,but in this paper it is found that the contribution rate of unit capacity rises first and then decreases with the growth of net-work capacity cost.
基金supported by the National Natural Science Foundation of China(61703427).
文摘In recent years,with the continuous development of multi-agent technology represented by unmanned aerial vehicle(UAV)swarm,consensus control has become a hot spot in academic research.In this paper,we put forward a discrete-time consensus protocol and obtain the necessary and sufficient conditions for the second-order consensus of the second-order multi-agent system with a fixed structure under the condition of no saturation input.The theoretical derivation verifies that the two eigenvalues of the Laplacian of the communication network matrix and the sampling period have an important effect on achieving consensus.Then we construct and verify sufficient conditions to achieve consensus under the condition of input saturation constraints.The results show that consensus can be achieved if velocity,position gain,and sampling period satisfy a set of inequalities related to the eigenvalues of the Laplacian matrix.Finally,the accuracy and validity of the theoretical results are proved by numerical simulations.
