An innovative lightweight image encryption scheme with superior security performance has been developed. Initially, we construct a three-dimensional simple memristive hyperchaotic map (3D-SMHM) that exhibits remarkabl...
详细信息
Owing to the extensive applications in many areas such as networked systems,formation flying of unmanned air vehicles,and coordinated manipulation of multiple robots,the distributed containment control for nonlinear m...
Owing to the extensive applications in many areas such as networked systems,formation flying of unmanned air vehicles,and coordinated manipulation of multiple robots,the distributed containment control for nonlinear multiagent systems (MASs) has received considerable attention,for example [1,2].Although the valued studies in [1,2] investigate containment control problems for MASs subject to nonlinearities,the proposed distributed nonlinear protocols only achieve the asymptotic *** a crucial performance indicator for distributed containment control of MASs,the fast convergence is conducive to achieving better control accuracy [3].The work in [4] first addresses the backstepping-based adaptive fuzzy fixed-time containment tracking problem for nonlinear high-order MASs with unknown external ***,the designed fixedtime control protocol [4] cannot escape the singularity problem in the backstepping-based adaptive control *** is well known,the singularity problem has become an inherent problem in the adaptive fixed-time control design,which may cause the unbounded control inputs and even the instability of controlled ***,how to solve the nonsingular fixed-time containment control problem for nonlinear MASs is still open and awaits breakthrough to the best of our knowledge.
The rapid development of deep learning provides great convenience for production and ***,the massive labels required for training models limits further ***-shot learning which can obtain a high-performance model by le...
详细信息
The rapid development of deep learning provides great convenience for production and ***,the massive labels required for training models limits further ***-shot learning which can obtain a high-performance model by learning few samples in new tasks,providing a solution for many scenarios that lack *** paper summarizes few-shot learning algorithms in recent years and proposes a ***,we introduce the few-shot learning task and its ***,according to different implementation strategies,few-shot learning methods in recent years are divided into five categories,including data augmentation-based methods,metric learning-based methods,parameter optimization-based methods,external memory-based methods,and other ***,We investigate the application of few-shot learning methods and summarize them from three directions,including computer vision,human-machine language interaction,and robot ***,we analyze the existing few-shot learning methods by comparing evaluation results on mini Image Net,and summarize the whole paper.
Video pose estimation has gained significant attention in the field of deep learning. Compared to traditional image-based pose estimation methods, video pose estimation leverages inter-frame relationships and temporal...
详细信息
The virtual synchronous generator(VSG)technology has been proposed to address the problem of system frequency and active power oscillation caused by grid-connected new energy power ***,the traditional voltage-current ...
详细信息
The virtual synchronous generator(VSG)technology has been proposed to address the problem of system frequency and active power oscillation caused by grid-connected new energy power ***,the traditional voltage-current double-closed-loop control used in VSG has the disadvantages of poor disturbance immunity and insufficient dynamic *** light of the issues above,a virtual synchronous generator voltage outer-loop control strategy based on improved linear autonomous disturbance rejection control(ILADRC)is put forth for ***,an improved first-order linear self-immunity control structure is established for the characteristics of the voltage outer loop;then,the effects of two key control parameters-observer bandwidthω_(0)and controller bandwidthω_(c)on the control system are analyzed,and the key parameters of ILADRC are optimally tuned online using improved gray wolf optimizer-radial basis function(IGWO-RBF)neural network.A simulationmodel is developed using MATLAB to simulate,analyze,and compare the method introduced in this *** are performed with the traditional control strategy for comparison,and the results demonstrate that the proposed control method offers superior anti-interference *** effectively addresses power and frequency oscillation issues and enhances the stability of the VSG during grid-connected operation.
This paper proposes an alternate sub-hexagonal center dual-inverter PWM scheme for open-end winding DC-biased vernier reluctance machine (DC-biased-VRM) drive using novel adjustable zero voltage vector to reduce inver...
详细信息
Buck-Boost converter in the total dose radiation environment will mainly bring the output voltage drift, linear adjustment rate and load adjustment rate decline and other effects, so that the output stability performa...
详细信息
Buck-Boost converter in the total dose radiation environment will mainly bring the output voltage drift, linear adjustment rate and load adjustment rate decline and other effects, so that the output stability performance of the circuit deteriorates. Aiming at the problems of high cost,large layout area and poor universality caused by the traditional total ionizing dose effect hardening method based on process and layout, this paper proposes a total ionizing dose effect hardening design method with parallel monitoring and hardening, which can achieve total ionizing dose effect hardening at the circuit level without process. The anti-total dose capability of Buck-Boost converter is improved. The circuit design and physical implementation of the proposed method are verified based on 0.18 μm bipolar complementary metal-oxide-semiconductor(CMOS) double-diffused metal-oxide-semiconductor(DMOS)(BCD) process. The results show that the system gain decrease rate can be compensated from 19.2% to 6.2%, and the output voltage shift rate can be improved from 2.00% to 0.15% at a dose of 200×10^(3) rad(Si). Moreover, the load adjustment rate and linear adjustment rate are reduced. They are respectively decreased to 0.191 %/A and 0.093 %/V. This provides a new idea for the design of total ionizing dose effect hardening at circuit and system level.
DC technologies will be essential building blocks for future DC distribution *** in any DC system,these networks will face crucial threats imposed by short-circuit DC *** is thus of great interest,and it will likely r...
详细信息
DC technologies will be essential building blocks for future DC distribution *** in any DC system,these networks will face crucial threats imposed by short-circuit DC *** is thus of great interest,and it will likely rely on DC circuit breakers(DCCBs).Among available configurations,Z-source solid-state circuit breakers(Z-SSCBs)are promising candidates for protecting low and medium-voltage distribution networks,as well as DC equipment due to their structural and control simplicity and low *** this paper,start-ofthe-art of Z-SSCBs topologies is *** set the context,the use of DC technologies for grid integration of renewables,DC power transmission,and the main types of DCCBs to protect DC transmission and distribution corridors are *** Z-SSCB topologies are then classified into unidirectional and *** and disadvantages of different configurations are compared and analyzed based on existing ***,a perspective on the future development of Z-SSCBs is discussed and potential challenges are elucidated.
Software-based resolver-to-digital conversion (RDC) systems, applied for acquiring accurate rotor position, are widely used in the permanent magnet synchronous motor (PMSM) drive system. However, when the PMSM speed c...
详细信息
Data-driven soft sensor modeling has gained significant traction in modern chemical process monitoring and quality prediction. However, persistent challenges remain in accurately characterizing the complex dynamics in...
详细信息
暂无评论