In order to provide a more scientific rehabilitation training plan for patients with lower limb paralysis caused by illness or accidents when they train independently or at home, a lower limb rehabilitation training s...
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With the continuous increase of global wind power installed capacity, the modern power system gradually shows the characteristics of weak damping, low inertia, and weak anti-interference ability. Aiming at the normal ...
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The fault current characteristic of doubly fed induction generators (DFIGs) is determined by both the external grid voltage and the internal rotor voltage. However, there are multiple fault-ride through strategies emp...
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In this study, a safe adaptive dynamic programming-based method is proposed for the formation control and collision avoidance problem of the multi-UAV systems with the known upper bound of external disturbances. For t...
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This paper investigates the static-feedback guaranteed cost control problem for linear systems with actuator faults including outage and loss of *** the actuator redundancy condition,theoretical analysis shows that a ...
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This paper investigates the static-feedback guaranteed cost control problem for linear systems with actuator faults including outage and loss of *** the actuator redundancy condition,theoretical analysis shows that a static-feedback guaranteed cost controller can always be well designed to ensure that the resulting closed-loop system is stable with desirable quadratic *** particular,the feedback gain can be determined through the solution of a modified algebraic Riccati ***,extension to the system with uncertainties is further *** with the dynamic feedback controller,the static-feedback controller consists only of logical gates/modules and it does not require any memory element,and hence it is simplest in a design *** from the existing results,the severe and timevarying actuator outage faults can be handled very well by the proposed control ***,simulation on a linearised reduced-order aircraft system is provided for verifying the theoretical results.
In the coal mining process,a large amount of Coal Mine-Associated energy(CMAE),such as coal mine methane and underground wastewater,is *** on the modeling and optimization dispatching of a Coal Mine-Integrated Energy ...
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In the coal mining process,a large amount of Coal Mine-Associated energy(CMAE),such as coal mine methane and underground wastewater,is *** on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System(CMIES)with CMAE effectively saves energy and reduces carbon *** has great uncertainties owing to the affections of the hydrogeology conditions and mining *** addition,thermal loads have high comfort requirements in mines,which brings great challenges to the optimization dispatching of ***,this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load ***,to effectively improve the electric and thermal conversion efficiency,the architecture of CMIES,including a concentrating solar power station,is ***,for the scheduling model with bilateral uncertainty,the interval representation method with interval variables is proposed,and a multi-objective scheduling model based on the interval variables and flexible thermal load is ***,we propose a solution method for the model with interval variables.A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.
Microgrids subjected to secondary cooperative control encounter significant challenges, including operational constraints and clock drifts, adversely affecting their stability and efficiency. This paper provides condi...
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CO is a hazardous and pollutant gas that can be produced in many scenarios of coal-related operations. The study mainly investigated CO production process and mechanism when coal is subject to external forces. The eff...
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This study employs nine distinct deep learning models to categorize 12,444 blood cell images and automatically extract from them relevant information with an accuracy that is beyond that achievable with traditional **...
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This study employs nine distinct deep learning models to categorize 12,444 blood cell images and automatically extract from them relevant information with an accuracy that is beyond that achievable with traditional *** work is intended to improve current methods for the assessment of human health through measurement of the distribution of four types of blood cells,namely,eosinophils,neutrophils,monocytes,and lymphocytes,known for their relationship with human body damage,inflammatory regions,and organ illnesses,in particular,and with the health of the immune system and other hazards,such as cardiovascular disease or infections,more in *** results of the experiments show that the deep learning models can automatically extract features from the blood cell images and properly classify them with an accuracy of 98%,97%,and 89%,respectively,with regard to the training,verification,and testing of the corresponding datasets.
Compared with the traditional methods based on the prediction of moving object trajectory, the method based on image registration has the advantage of not relying on the object motion equation to track the object. How...
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