This work focuses on improving the energy efficiency of a backstepping-controlled differential mobile robot (WDMR). The controller is designed to track a reference trajectory accurately and efficiently. The control pa...
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Metagratings(MGs)have emerged as a promising platform for manipulating the anomalous propagation of electromagnetic ***,traditional methods for designing functional MG-based devices face significant challenges,includi...
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Metagratings(MGs)have emerged as a promising platform for manipulating the anomalous propagation of electromagnetic ***,traditional methods for designing functional MG-based devices face significant challenges,including complex model structures,time-consuming optimization processes,and specific polarization *** this work,we propose an inverse-design approach to engineer simple MG structures comprising periodic air grooves on a flat metal surface,which can control anomalous reflection without polarization *** rigorous analytical methods,we derive solutions that achieve perfect retroreflection and perfect specular reflection,thereby leading to functional control over the linearly-polarized electromagnetic *** capabilities enable intriguing functionalities including polarization-dependent retroreflection and polarization-independent retroreflection,as confirmed through fullwave *** work offers a simple and effective method to control freely electromagnetic waves,with potential applications spanning wavefront engineering,polarization splitting,cloaking technologies,and remote sensing.
The high reliability of the communication system is critical in metro and mining applications for personal safety,channel optimization,and improving operational *** paper surveys the progress of wireless communication...
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The high reliability of the communication system is critical in metro and mining applications for personal safety,channel optimization,and improving operational *** paper surveys the progress of wireless communication systems in underground environments such as tunnels and mines from 1920 to 2022,including the evolution of primitive technology,advancements in channel modelling,and realization of various wireless propagation *** addition,the existing and advanced channel modeling strategies,which include the evolution of different technologies and their applications;mathematical,analytical,and experimental techniques for radio propagation;and significance of the radiation characteristics,antenna placement,and physical environment of multiple-input multiple-output(MIMO)communication systems,are *** given study introduces leaky coaxial cable(LCX)and distributed antenna system(DAS)designs for improving narrowband and wideband channel *** paper concludes by figuring out open research areas for the future technologies.
The primary concern in stealth aircraft design is the very large electrical size ***,the computational and storage requirements of these objects present significant obstacles for current highfidelity design methods,pa...
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The primary concern in stealth aircraft design is the very large electrical size ***,the computational and storage requirements of these objects present significant obstacles for current highfidelity design methods,particularly when addressing high-dimensional complex engineering design *** address these challenges,we developed a surface sensitivity technique based on the multilevel fast multipole algorithm(MLFMA).An access and storage of sparse partial derivative tensor was improved to significantly enhanced the computation *** far-field interactions of the surface sensitivity equation were realized by differential the multipole *** addition,we proposed a fast far-field multiplication method to accelerate the multiplication *** surface mesh derivative with respect to the design variables was calculated by analytical and complex variable methods,substantially improving computational *** advancements enabled the MLFMAbased surface sensitivity method to millions meshes and large-scale gradients,extending gradientbased optimization for very large electrical size *** cases have verified the effectiveness of this method in optimizing very large electrical objects in terms of both accuracy and efficiency.
Developing mechanical metamaterials through topology optimization attracts high attention in both computational design and engineering ***,most of the studies in the literature are of quite limited applicability and p...
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Developing mechanical metamaterials through topology optimization attracts high attention in both computational design and engineering ***,most of the studies in the literature are of quite limited applicability and poor ***,this work originally established an adaptable metamaterial topology optimization framework through integrating a commercial finite element analysis(FEA)***,the sensitivity analysis was derived and simplified to avoid the complex extraction of internal FEA information according to the strain-energy-based homogenization method.A series of two-and three-dimensional metamaterials with different properties,i.e.,bulk and shear moduli,negative Poisson’s ratio,were subsequently *** optimized metamaterials were fabricated and experimentally tested based on the additive manufacturing,firmly demonstrating the effectiveness of the developed design *** well-structured design framework can be conveniently extended to the systematic design of metamaterials with various other exclusive performances,fulfilling the urgent need for metamaterial design methods.
Steels are widely used as structural materials,making them essential for supporting our lives and ***,further improving the comprehensive properties of steel through traditional trial-and-error methods becomes challen...
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Steels are widely used as structural materials,making them essential for supporting our lives and ***,further improving the comprehensive properties of steel through traditional trial-and-error methods becomes challenging due to the continuous development and numerous processing parameters involved in steel *** address this challenge,the application of machine learning methods becomes crucial in establishing complex relationships between manufacturing processes and steel *** review begins with a general overview of machine learning methods and subsequently introduces various performance predictions in steel *** classification of performance pre-diction was used to assess the current application of machine learning model-assisted *** important issues,such as data source and characteristics,intermediate features,algorithm optimization,key feature analysis,and the role of environmental factors,were summarized and *** insights will be beneficial and enlightening to future research endeavors in this field.
In recent decades, the application of photovoltaic (PV) power generation and other new energy begins to attract people's attention. The modelling of PV modules is significant for accurately estimating the generati...
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To ensure the large-scale integration of distributed photovoltaic (PV) into power system, it is imperative to collect and aggregate real-time operational data. However, the substantial volume of data imposes significa...
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To ensure the large-scale integration of distributed photovoltaic (PV) into power system, it is imperative to collect and aggregate real-time operational data. However, the substantial volume of data imposes significant stress on cloud-edge collaborative framework and multimodal networking integrated with power line communication (PLC) and high-speed radio frequency (HRF) communication, resulting in large delay and poor transmission reliability. In this paper, we formulate an optimization problem to minimize the weighted sum of information aggregation delay and packet error rate by jointly optimizing data compression and routing selection. We propose a large-scale multi-agent learning-based two-stage service priority and compression speed-aware data compression and information aggregation joint optimization algorithm to address the problem. The proposed algorithm augments conventional ant colony method with Q-learning to enhance the learning capability under large-scale complex dynamic systems. Furthermore, the incorporation of service priority and data compression speed awareness leads to improved convergence speed. Finally, through simulation verification, we demonstrate that the proposed algorithm outperforms existing methods. IEEE
Flight trajectory optimization is a crucial aspect of aircraft design, and the numerical algorithms for trajectory optimization have always been a hot and challenging topic in domestic and international research. Star...
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The optimization of radar cross section (RCS) is now a significant issue in the designation of military and civilian equipment. Comparing with the expensive material approaches, changing the geometry of an object is a...
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