The micro-area characterization experiments like scanning Kelvin probe force microscope(SKPFM)and Kernel average misorientation have the defects of complex sample preparation and occasional errors in test results,whic...
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The micro-area characterization experiments like scanning Kelvin probe force microscope(SKPFM)and Kernel average misorientation have the defects of complex sample preparation and occasional errors in test results,which makes it impossible to accurately and quickly analyze the pitting behavior induced by inclusions in some cases,prompting attempts to turn to simulation calculation *** method of calculating band structure and work function can be used to replace current-sensing atomic force microscopy and SKPFM to detect the potential and conductivity of the *** band structure results show that Al_(2)O_(3) inclusion is an insulator and non-conductive,and it will not form galvanic corrosion with the ***_(2)O_(3) inclusion does not dissolve because its work function is higher than that of the ***,the stress concentration of the matrix around the inclusion can be characterized by first-principles calculation coupled with finite element *** results show that the stress concentration degree of the matrix around Al_(2)O_(3) inclusion is serious,and the galvanic corrosion is formed between the high and the low stress concentration areas,which can be used to explain the reason of the pitting induced by Al_(2)O_(3) inclusions.
The second-generation (2G) high temperature superconducting strips are increasingly used in superconducting motor, superconducting current limiters, etc. The accurate calculation of AC loss of the strips is of great s...
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In order to enhance the learning optimization efficiency of deep reinforcement learning algorithms in the scenario of unit shutdown and maintenance, this study delves into knowledge transfer issues arising from the re...
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Aiming at the problem of multiple virtual power plants with many power regulation resources and high computational difficulty, as well as the power interaction and competition between different virtual power plants, t...
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Reliability issue induced by nanoscale mechanical contact has been a fundamental bottleneck in mature commercialization of Micro/Nano Electromechanical System(M/NEMS). The key point of M/NEMS contact reliability analy...
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In traditional computer stereo vision systems, a single focus is employed for capturing and processing stereo image pairs to estimate depth. However, the inherent variability of object distances in real world stereo i...
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With the advancement of multi-electric aircraft technology and lithium-ion battery technology, lithium-ion batteries are commonly utlized in the aviation field. Apart from being used as emergency batteries, they are i...
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Inertial navigation has gained extensive application because it solely relies on built-in Inertial Measurement Unit (IMU) devices. Nevertheless, due to its inherent accumulative integral error, inertial navigation is ...
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This article proposes an active fault detection method combining the Total Measurable Fault Information Residual (ToMFIR) and auxiliary signals to address the incipient faults of autonomous underwater vehicle (AUV) th...
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An adaptive stabilization control strategy based on controlled Lagrangians for an under-actuated planar vertical take-off and landing(PVTOL) aircraft with unknown model parameters is presented in this ***,considering ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
An adaptive stabilization control strategy based on controlled Lagrangians for an under-actuated planar vertical take-off and landing(PVTOL) aircraft with unknown model parameters is presented in this ***,considering the PVTOL aircraft with known model parameters,a stabilization controller designed by controlled Lagrangians is ***,by modifying it,an adaptive continuous feedback controller for stabilizing the aircraft with unknown model parameters and a related adaptive update laws for estimating the unknown parameter are ***,asymptotic stability of the closed-loop system is strictly *** simulation verifies the effectiveness of the proposed controller.
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