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A hybrid predictive control strategy is proposed which can efficiently deal with the speed regulation control of permanent magnet synchronous generator (PMSG) in wind-energy conversion system. A single linear MPC controller is designed with a simpler linearization model. Model predictive controller generates control voltages which are iuput into PWM controller. Thus PMSG can be controlled by three-phase...
Large-scale time series data are prevalent across diverse application domains including system management, biomedical informatics, social networks, finance, etc. Temporal dependency discovery performs an essential part to identify the hidden interactions among the observed time series and helps to gain more insight into the behavior of the applications. However, the time-varying sparsity of the interactions...
Due to the randomicity of network suffered from security attacks and the uncertainty of network security situation, it is difficult to precisely predict network security situation in single predication model. Therefore, an immune-based combination predication model for network security situation (ICPM) is proposed by using GM(1,1) and artificial immune predication model (AIPM). In ICPM, the trend...
To effectively evaluate and predict network security situation, a quantitative model for network security situation awareness based on artificial immune system and grey theory is proposed. In this model, the formal definitions of self, non-self, antigen and detector is given. According to the relationship between the antibody-concentration of memory detector and the attack intensity of network, network...
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