The neural network for solving quadratic programming problem is further investigated, and theavailable stable testing condition of this method is purposed. We prove that the network, under proposed con-ditton, has a b...The neural network for solving quadratic programming problem is further investigated, and theavailable stable testing condition of this method is purposed. We prove that the network, under proposed con-ditton, has a behavtor of the global convergence. Hinally, numerical simulation examtaples aregiven.展开更多
This Paper successfully develops the method of Generalized Likelihood Ratio(G.L.R.)in detectingfaults of the system.It has been found very imPOrtant to pay more attention to the validation of measuringdata which must ...This Paper successfully develops the method of Generalized Likelihood Ratio(G.L.R.)in detectingfaults of the system.It has been found very imPOrtant to pay more attention to the validation of measuringdata which must contain richer information relating to the fault.The foil measuringpoints,partial measuring points, single observation and multi-observation for detection of single fault and multi-fault have allbeen considered in our algorithm which basically depends on the theory of G.L.R.,the new concept of calculating residues is also put up as the base of this detecting algorithm. It can not only accurately detect thefaulted branches of the System, but also locate the slanted measures and even determine amplitude of thefault.By simulation with the software MATLAB, the simulation results of some application examples showthat our detection is much better than that by [1]. HOwever, for our method, the precision of sensors shouldbe known and a threshold of confidence for decision should be determined by user.展开更多
In this paper a fuzzy logic-based system is presented to deal with the congestion control and policing problem in ATM networks. We combine the modified Leaky Bucket (LB) technique with the moving window mechanism to i...In this paper a fuzzy logic-based system is presented to deal with the congestion control and policing problem in ATM networks. We combine the modified Leaky Bucket (LB) technique with the moving window mechanism to identify the traffic parameters. The Fuzzy Leaky Bucket (FLB ) modifies the token rate according to the peak rate and the burst time which characterize the source behavior Simulation results show that our system is transparent to sources with respect to the parameter values negotiated at the call setup and effective in detecting source violation with low response time.展开更多
文摘The neural network for solving quadratic programming problem is further investigated, and theavailable stable testing condition of this method is purposed. We prove that the network, under proposed con-ditton, has a behavtor of the global convergence. Hinally, numerical simulation examtaples aregiven.
文摘This Paper successfully develops the method of Generalized Likelihood Ratio(G.L.R.)in detectingfaults of the system.It has been found very imPOrtant to pay more attention to the validation of measuringdata which must contain richer information relating to the fault.The foil measuringpoints,partial measuring points, single observation and multi-observation for detection of single fault and multi-fault have allbeen considered in our algorithm which basically depends on the theory of G.L.R.,the new concept of calculating residues is also put up as the base of this detecting algorithm. It can not only accurately detect thefaulted branches of the System, but also locate the slanted measures and even determine amplitude of thefault.By simulation with the software MATLAB, the simulation results of some application examples showthat our detection is much better than that by [1]. HOwever, for our method, the precision of sensors shouldbe known and a threshold of confidence for decision should be determined by user.
文摘In this paper a fuzzy logic-based system is presented to deal with the congestion control and policing problem in ATM networks. We combine the modified Leaky Bucket (LB) technique with the moving window mechanism to identify the traffic parameters. The Fuzzy Leaky Bucket (FLB ) modifies the token rate according to the peak rate and the burst time which characterize the source behavior Simulation results show that our system is transparent to sources with respect to the parameter values negotiated at the call setup and effective in detecting source violation with low response time.
