Investigating the interaction between fins can guide the design and enhance the performance of robotic *** this paper,we take boxfish as the bionic object and discuss the effect of coupling motion gaits among the two ...
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Investigating the interaction between fins can guide the design and enhance the performance of robotic *** this paper,we take boxfish as the bionic object and discuss the effect of coupling motion gaits among the two primary propulsors,pectoral and caudal fins,on the heading stability of the ***,we propose the structure and control system of the bionic boxfish ***,using a one/two-way fluid–structure interaction numerical method,we analyse the key parameters of the prototype and discuss the influence of pectoral and caudal motion gaits on the hydrodynamic ***,effect of the pectoral and caudal interactions on heading stability of the prototype is systematically analyzed and verified in *** show that the course-deviating degree,oscillation amplitudes of yawing,rolling,and pitching exhibited by the prototype are smaller than that caused by single propulsor when the motion gaits of both pectoral and caudal fins are coordinated in a specific *** paper reveals for the first time the effect of interactions between pectoral and caudal fins,on the stability of body's course by means of Computational Fluid Dynamics and prototype experiments,which provides an essential guidance for the design of robotic fish propelled by multi-fins.
A two-stage training method is proposed to enhance imaging quality and reduce reconstruction time in datadriven single-pixel imaging(SPI)under undersampling *** approach leverages a deep learning algorithm to simulate...
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A two-stage training method is proposed to enhance imaging quality and reduce reconstruction time in datadriven single-pixel imaging(SPI)under undersampling *** approach leverages a deep learning algorithm to simulate single-pixel detection and image *** the initial training stage,an L2 regularization constraint is imposed on convolution modulation patterns to determine the optimal initial network *** the subsequent stage,a coupled deep learning method integrating coded-aperture design and SPI is adopted,which utilizes backpropagation of the loss function to iteratively optimize both the binarized modulation patterns and imaging network *** reducing the binarization errors introduced by the dithering algorithm,this approach improves the quality of data-driven *** with traditional deep-learning SPI methods,the proposed method significantly reduces computational complexity,resulting in accelerated image *** and simulation results demonstrate the advantages of the method,including high imaging quality,short image reconstruction time,and simplified *** an image size of 64×64 pixels and 10%sampling rate,the proposed method achieves a peak signal-to-noise ratio of 23.22 dB,structural similarity index of 0.76,and image reconstruction time of approximately 2.57×10^(−4) seconds.
This paper proposes a coordinated frequency control scheme for emergency frequency regulation of isolated power systems with a high penetration of wind *** proposed frequency control strategy is based on the novel non...
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This paper proposes a coordinated frequency control scheme for emergency frequency regulation of isolated power systems with a high penetration of wind *** proposed frequency control strategy is based on the novel nonlinear regulator theory,which takes advantage of nonlinearity of doubly fed induction generators(DFIGs)and generators to regulate the frequency of the power *** deviations and power imbalances are used to design nonlinear feedback controllers that achieve the reserve power distribution between generators and DFIGs,in various wind speed *** effectiveness and dynamic performance of the proposed nonlinear coordinated frequency control method are validated through simulations in an actual isolated power grid.
Optimal control of batch crystallization systems is still a focus and hot topic in the field of industrial crystallization, which seriously affects the consistency of batch product quality. In this paper, a new method...
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Optimal control of batch crystallization systems is still a focus and hot topic in the field of industrial crystallization, which seriously affects the consistency of batch product quality. In this paper, a new method with a new objective function and improved optimization algorithm was proposed for optimization of crystal size distribution (CSD) in case of fine crystals occurrence. The new objective function was developed with better margin metric and weighting technique to minimize fine crystal mass, meanwhile, a newly constructed sinusoidal weight function was introduced to improve the particle swarm optimization (PSO) algorithm. A precise control of CSD with suppressed numerical discrepancy caused by fine crystals removal was developed by combining seed recipe and temperature-swing. In addition, the effects of temperature curve segments on CSD during process optimization were systematically investigated to achieve optimal results. Two typical batch cooling crystallization systems were used to verify the effectiveness of the proposed method in controlling product CSD while minimizing fine crystal mass. Results demonstrated that the desired product CSD can be achieved with minor errors while the fine crystals could be shrunk to be negligible, i.e., the fine crystal mass and number can be reduced by over 90%. This work has an important guiding significance for the removal of fine crystals in industrial crystallization processes, especially when only operational optimization rather than equipment updating is considered.
Distributed parallel inverters are a promising solution for large power systems due to their flexibility and reliability. However, the distributed control mode often causes carrier phase desynchronization among the co...
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Conducting polymers(CPs),including poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS),are promising coating materials for neural ***,the weak adhesion of CP coatings to substrates such as platinum-irid...
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Conducting polymers(CPs),including poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS),are promising coating materials for neural ***,the weak adhesion of CP coatings to substrates such as platinum-iridium is a significant challenge that limits their practical *** address this issue,we used femtosecond laser-prepared hierarchical structures on platinum-iridium(Pt-Ir)substrates to enhance the adhesion of PEDOT:PSS ***,we used cyclic voltammetry(CV)stress and accelerated aging tests to evaluate the stability of both drop cast and electrodeposited PEDOT:PSS coatings on Pt-Ir substrates,both with and without hierarchical *** results showed that after 2000 CV cycles or five weeks of aging at 60℃,the morphology and electrochemical properties of the coatings on the Pt-Ir substrates with hierarchical structures remained relatively *** contrast,we found that smooth Pt-Ir substrate surfaces caused delamination of the PEDOT:PSS coating and exhibited both decreased charge storage capacity and increased ***,enhancing the stability of PEDOT:PSS coatings used on common platinum-iridium neural electrodes offers great potential for improving their electrochemical performance and developing new functionalities.
Dear Editor,This letter focuses on the integration of inventory monitoring and capacity changes in dynamic supply chains(SCs)with the bullwhip effect(BE)and the ripple effect(RE).First,a new inventory monitoring model...
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Dear Editor,This letter focuses on the integration of inventory monitoring and capacity changes in dynamic supply chains(SCs)with the bullwhip effect(BE)and the ripple effect(RE).First,a new inventory monitoring model with stochastic switched topologies is proposed for SCs,potentially showing merits in incorporating the BE and the RE,and allowing control-theoretic approaches to identify their ***,sufficient conditions on the existence of inventory controllers are derived such that the monitoring system is stabilizable with mitigation of the BE in the presence of the RE.
This paper addresses the path tracking control problem for autonomous vehicles subject to the compound disturbance and unavailable variable. Before the controller design, a state observer and a disturbance observer ar...
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Since the traditional Delta-shaped motor is difficult to achieve the wide speed range while increasing the output torque, it cannot fully meet the complex working conditions of electric vehicles. This paper, from the ...
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The deep convolutional network (DCN) suffers from drawbacks such as high computational complexity and slow speed. To address these issues and facilitate the deployment of DCNs in embedded devices, we propose a finger ...
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