This paper presents an adaptive sequential fusion estimation method for the target tracking with nonsynchronous measurements in wireless sensor networks (WSNs). Based on Gaussian assumption and Bayesian inference, a s...
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This paper presents an adaptive sequential fusion estimation method for the target tracking with nonsynchronous measurements in wireless sensor networks (WSNs). Based on Gaussian assumption and Bayesian inference, a sequential cubature Kalman filtering (SCKF) method, as well as its square root form (SR-SCKF), is presented by applying the cubature rule to approximate the function x Gaussian integrals. By taking into consideration the time-varying properties of the measurement noise and the linearization errors, some adaptive factors are introduced into the SCKF to compensate for the measurement uncertainties based on Chi-square tests. The convergence analysis of the SCKF is presented. It is proved that the adaptive SCKF (ASCKF) has a better convergence property than the SCKF. Both simulations and experiments of a target tracking example are presented to show the effectiveness and superiority of the proposed ASCKF method.
Conduction mechanism and impedance analysis of both the low resistance state (LRS) and high resistance state (HRS) are performed on TiN/HfOx/Pt resistive-switching memory devices at various temperatures. The dc conduc...
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Conduction mechanism and impedance analysis of both the low resistance state (LRS) and high resistance state (HRS) are performed on TiN/HfOx/Pt resistive-switching memory devices at various temperatures. The dc conduction mechanism in LRS is dictated by Ohmic conduction, whereas by trap controlled space-charge -limited current conduction in HRS. The XPS analysis results on the surface of the HfOx film indicated the presence of oxygen deficiencies. The equivalent physical model under various resistance states is established by using ac impedance spectroscopy method, that is related to oxygen vacancies in the HfOx film. We further discussed the activation energy of dc and ac in the HRS and found the conduction occurs at the grain boundary. Through analysis of different resistance states of HfOx-based resistive switching memories, the conduction mechanism correlation between time and frequency domain is established.
Under large interference, in order to keep the surface-mounted permanent magnet synchronous motor with better operating characteristics, real-time identification of the parameters such as resistance, inductance and fl...
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ISBN:
(纸本)9781728176871
Under large interference, in order to keep the surface-mounted permanent magnet synchronous motor with better operating characteristics, real-time identification of the parameters such as resistance, inductance and flux linkage during motor operation becomes very necessary. This paper proposes an online self-applicable identification method for motor parameters based on recursive least squares method. The parameter identification model is analyzed in Matlab / Simulink, which proves that the method can accurately identify the values of resistance, inductance and flux linkage parameters. It also proves the value of this method.
A novel set-membership control strategy is investigated for a class of discrete time-varying systems with unknown-but-bounded noises. Different from some existing set-membership estimation based control methods, the p...
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A novel set-membership control strategy is investigated for a class of discrete time-varying systems with unknown-but-bounded noises. Different from some existing set-membership estimation based control methods, the proposed control strategy is designed by using state estimation sets instead of some specific estimation points. The controlled performance requirement is modelled as a new set-membership performance constraint which ensures that the controlled output meets the requirement at any time instant. First, the set-membership filtering method is used for obtaining the ellipsoidal state estimation set. Second, a set-membership controller is constructed by utilising the state estimation which is arbitrarily chosen from the corresponding estimation set. Accordingly, sufficient conditions are derived such that the controlled system is asymptotically stable and satisfies the proposed performance constraint in the presence of unknown-but-bounded noises at each time instant. Then, a constructive computational algorithm is provided to describe the proposed control strategy. Finally, illustrative simulation examples are presented to demonstrate the effectiveness of the proposed method.
The mammal gut is a rich reservoir of antibiotic resistance genes (ARGs), and the relationship between bacterial communities and ARGs has been widely studied. Despite ecological significance of microeukaryotes (fungi ...
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The mammal gut is a rich reservoir of antibiotic resistance genes (ARGs), and the relationship between bacterial communities and ARGs has been widely studied. Despite ecological significance of microeukaryotes (fungi and protists), our understanding of their roles in the mammal gut microbiome and antibiotic resistome is still limited. Here, we used amplicon sequencing, metagenomic sequencing and high-throughput quantitative PCR to examine microbiomes and antibiotic resistomes of 41 giant panda fecal samples from individuals with different genders, ages, sampling sites and diet. Our results show that diverse protists inhabit in the giant panda gut ecosystem, dominated by consumers. Higher abundance of protistan consumers was detected in the elder compared to subadult and adult giant pandas. Diet is the main driving factor of variation in ARGs in the giant panda gut microbiome. Weighted correlation network analysis identified two key microbial modules from multitrophic communities, which all contributed to the variation in ARGs in the giant panda gut. Protists occupied an important position in the two modules which were dominated by fungal taxa. Deterministic processes made a more important contribution to microbial community assembly of the two modules than to bacterial, fungal and protistan communities. This study sheds new light on how key microbial modules contribute to the variation in ARGs, which is crucial in understanding dynamics of antibiotic resistome in the mammal gut, particularly endangered species.
Combustion characteristics of a rapid mixed swirl torch igniter of CH4/O-2 for hybrid rocket motors has been experimentally investigated. The igniter torch consists of four tangential slits circumferentially equispace...
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Combustion characteristics of a rapid mixed swirl torch igniter of CH4/O-2 for hybrid rocket motors has been experimentally investigated. The igniter torch consists of four tangential slits circumferentially equispaced on the internal micro-combustion chamber allows tangential injection of O-2 gas, meanwhile the CH4 flows into the main channel and interacts with four tangential O-2 injections flow to generate a swirl mixing of CH4 and O-2. The ignitability of this swirl torch igniter was verified by large number of experiments in variation of equivalence ratio and total flowrate of CH4/O-2. The flame structure of the igniter and effect of main oxidizer injection acting as a cross flow on the flame has been investigated by using OH* and CH* chemiluminescences techniques. It is found that the torch igniter can reliably ignite instantaneously in the range of equivalence ratio 0.2-1.4 and the effect of main oxidizer injection on the flame is tiny and can be neglected. In addition, the performance of this rapid mixed swirl flame has been investigated by using a lab scaled hybrid rocket motor and compared with the same hybrid rocket motor ignited by catalytic bed. The performance of this igniter and its comparison with catalytic bed ignition will be discussed and analyzed in detail. (C) 2019 Elsevier Masson SAS. All rights reserved.
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