检索结果-内蒙古大学图书馆

Tunable uniform field enhancement in a subwavelength air pillar by photonic doping in epsilon-near-zero medium

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Sun, Fei Shan, Jinyuan Liu, Yichao Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China

In this study, a novel electric field compressor is proposed by doping a metal-air-metal pillar in epsilon-near-zero medium within a metallic waveguide, which effectively enhances the background electric fields in a sub-wavelength air pillar with high uniformity. The field enhancement factor can be analytically determined through theoretical derivations from Maxwell's equations, reaching its maximum value by appropriately selecting the size of the air pillar. Furthermore, the proposed compressor can achieve a tunable electric field enhancement effect within the deep sub-wavelength air pillar by adjusting the height of the air pillar through movement of two metal pillars inserted into the waveguide. Both theoretical analysis and numerical simulations are employed to validate the performance of the electric field compressor, which exhibits a wide range of tunable field enhancement effect (i.e., continuously adjustable enhancement factor between 20 and 800) with uniformity below 1.5 within the deep sub-wavelength air pillar (wherein the air volume is smaller than λ0/10 × λ0/10 × λ0/16). Finally, a practical model is proposed for the realization of the electric field compressor in the microwave range, where specially placed metal pillars and wires are incorporated into a rectangular metallic waveguide structure. The field enhancement and tunable effects of this practical model have been verified through simulations. Copyright © 2024, The Authors. All rights reserved.

关键词： Maxwell equations

Equilibrium analysis of networked game under best-response dynamics 43

学校读者我要写书评

暂无评论

Equilibrium analysis of networked game under best-response d...

43rd Chinese control Conference, CCC 2024

作者： Xia, Yu Su, Qi Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9789887581581

Both coordination, a behavioral pattern where individuals adopt the same behavior as the majority, and anticoordination, a behavioral pattern where individuals choose a behavior different from the majority, are prevalent in social and engineering scenarios. Examples include the spread of social norms or innovations for coordination and the division of labor and traffic congestion for anti-coordination. Exploring the large-scale interacting systems driven by coordination and anticoordination is of great significance in understanding, predicting, and optimizing the evolutionary outcomes. While existing studies have primarily focused on analyzing the convergence of networked systems and evaluating the time to reach equilibrium, our investigation delves into all possible states of a networked system and scrutinizes all equilibrium states. Notably, we observe that the number of equilibrium states increases exponentially with the network size. Accounting for network structure properties, homogeneous networks exhibit more equilibrium states than heterogeneous networks. Furthermore, for specific behavioral switching thresholds, the number of equilibrium states is surprisingly higher than at neighboring switching thresholds. Our work reveals the intricate interplay between evolutionary dynamics, system structure, and behavioral switching thresholds. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Traffic congestion

Soft Robotics:Morphology and Morphology-inspired Motion Strategy

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1500-1522页

作者： Fan Xu Hesheng Wang Department of Automation Institute of Medical RoboticsKey Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China

Robotics has aroused huge attention since the *** of the uniqueness that industrial applications exhibit,conventional rigid robots have displayed noticeable limitations,particularly in safe cooperation as well as with environmental ***,scientists have shifted their focus on soft robotics to apply this type of robots more effectively in unstructured *** decades,they have been committed to exploring sub-fields of soft robotics(e.g.,cutting-edge techniques in design and fabrication,accurate modeling,as well as advanced control algorithms).Although scientists have made many different efforts,they share the common goal of enhancing *** presented paper aims to brief the progress of soft robotic research for readers interested in this field,and clarify how an appropriate control algorithm can be produced for soft robots with specific *** paper,instead of enumerating existing modeling or control methods of a certain soft robot prototype,interprets for the relationship between morphology and morphology-dependent motion strategy,attempts to delve into the common issues in a particular class of soft robots,and elucidates a generic solution to enhance their performance.

关键词： Soft continuum manipulator soft gripper soft mobile robot soft robot control method soft robot modeling method soft robotics

controllable four-wave mixing response in a dual-cavity hybrid optomechanical system

学校读者我要写书评

暂无评论

Chinese Physics B 2021年第5期30卷 406-411页

作者： Lei Shang Bin Chen Li-Li Xing Jian-Bin Chen Hai-Bin Xue Kang-Xian Guo Department of Physics College of Physics and OptoelectronicsTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceTaiyuan 030024China Department of Physics School of Physics and Material ScienceGuangzhou UniversityGuangzhou 510006China

We systematically investigate the four-wave mixing(FWM)spectrum in a dual-cavity hybrid optomechanical system,which is made up of one optical cavity with an ensemble of two-level atoms and another with a mechanical *** this work,we propose that the hybrid dual-cavity optomechanical system can be employed as a highly sensitive mass sensor due to the fact that the FWM spectrum generated in this system has a narrow spectral width and the intensity of the FWM can be easily tuned by controlling the coupling strength(cavity-cavity,atom-cavity).More fascinatingly,the dual-cavity hybrid optomechanical system can also be used as an all-optical switch in view of the easy on/off control of FWM signals by adjusting the atom-pump detuning to be positive or *** proposed schemes have great potential applications in quantum information processing and highly sensitive detection.

关键词： four-wave mixing dual-cavity optomechanical system atomic ensemble

High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Guo, Yanqiang Hu, Zinan Zhang, Jianchao Zhu, Chenyu Guo, Xiaomin Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China

Precision experimental determination of photon correlation requires the massive amounts of data and extensive measurement time. We present a technique to monitor second-order photon correlation g(2)(0) of amplified quantum noise based on wideband balanced homodyne detection and deep-learning acceleration. The quantum noise is effectively amplified by an injection of weak chaotic laser and the g(2)(0) of the amplified quantum noise is measured with a real-time sample rate of 1.4 GHz. We also exploit a photon correlation convolutional neural network accelerating correlation data using a few quadrature fluctuations to perform a parallel processing of the g(2)(0) for various chaos injection intensities and effective bandwidths. The deep-learning method accelerates the g(2)(0) experimental acquisition with a high accuracy, estimating 6107 sets of photon correlation data with a mean square error of 0.002 in 22 seconds and achieving a three orders of magnitude acceleration in data acquisition time. This technique contributes to a high-speed and precision coherence evaluation of entropy source in secure communication and quantum imaging. Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum noise

Chaos with Gaussian invariant distribution by quantum-noise random phase feedback

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Guo, Yanqiang Li, Haifeng Wang, Yingqi Meng, Xiangyu Zhao, Tong Guo, Xiaomin Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China

We experimentally present a random phase feedback based on quantum noise to generate a chaotic laser with Gaussian invariant distribution. The quantum noise from vacuum fluctuations is acquired by balanced homodyne detection and injected into a phase modulator to form a random phase feedback. An optical switch using high-speed intensity modulator is employed to reset the chaotic states repeatedly and the time evolutions of intensity statistical distributions of the chaotic states stemming from the initial noise are measured. By the quantum-noise random phase feedback, the transient intensity distributions of the chaotic outputs are improved from asymmetric invariant distributions to Gaussian invariant distributions, and the Gaussian invariant distribution indicates a randomly perturbed dynamical transition from microscopic initial noise to macroscopic stochastic fluctuation. The effects of phase feedback bandwidth and modulation depth on the invariant distributions are investigated experimentally. The chaotic time-delay signature and mean permutation entropy are suppressed to 0.036 and enhanced to 0.999 using the random phase feedback, respectively. The high-quality chaotic laser with Gaussian invariant distribution can be a desired random source for ultrafast random number generation and secure communication. Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum noise

Broadband planar electromagnetic hyper-lens with uniform magnification in air

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Sun, Ran Sun, Fei Chen, Hanchuan Liu, Yichao Wang, Qi Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China

A planar hyper-lens, capable of creating sub-wavelength imaging for broadband electromagnetic wave, is designed based on electromagnetic null medium. Subsequently, a scheme for the implementation of the proposed hyper-lens is given by using well-designed flexural metal plates, which function as the reduced electromagnetic null medium for TM-polarized microwaves. Both simulated and measured results verify that the hyper-lens designed with flexural metal plates can achieve super-resolution imaging for microwave at operating wavelength (λ0=3cm) with a resolution of 0.25λ0 and a uniform magnification of about 5. Moreover, the designed hyper-lens ensures that both the object and image surfaces are planes, and simultaneously provides a uniform magnification for objects in different positions. Additionally, the proposed hyper-lens offers a broadband superresolution imaging capabilities, achieving good super-resolution imaging effects for microwave frequencies ranging from 8.5 to 11 GHz. The proposed hyper-lens may find applications in high precision imaging, detection, and sensing. Copyright © 2024, The Authors. All rights reserved.

关键词： Optical resolving power

Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2023年第4期66卷 1096-1109页

作者： HE HaiJun MENG Xi TANG Jian QIAO JunFei Faculty of Information Technology Beijing University of TechnologyBejing 100124China Beijing Laboratory of Smart Environmental Protection Beijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Bejing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Bejing 100124China Xi'an Institute of Electromechanical Information Technology Xi'an 710065China

Due to the large uncertainty in the municipal solid waste incineration(MSWI)process,the furnace temperature of the MSWI process is difficult to control and the controller is updated *** improve the accuracy and reduce the number of controller updates,a novel event-triggered control method based correntropy self-organizing TS fuzzy neural network(ETCSTSFNN)is ***,the neurons of the rule layer are grown or pruned adaptively based on activation intensity and control error to meet the dynamic change of the actual operating ***,the performance index is designed based on the correntropy of tracking errors,and the parameters of the controller are adjusted by gradient descent ***,a fixed threshold event-triggered condition is designed to determine whether the current controller is updated or *** stability of the control system is proved based on the Lyapunov stability ***,the furnace temperature control experiments are conducted based on the actual data of a municipal solid waste incineration plant in *** experimental results show that the proposed ET-CSTSFNN controller shows a better control performance,which can reduce the number of the controller update significantly while achieving accurate furnace temperature control compared with other traditional control methods.

关键词： municipal solid waste incineration furnace temperature fuzzy control event-triggered

DISTRIBUTED REAL-TIME STATE ESTIMATION OF INTEGRATED POWER AND GAS system

学校读者我要写书评

暂无评论

DISTRIBUTED REAL-TIME STATE ESTIMATION OF INTEGRATED POWER A...

CIRED 2022 Shanghai Workshop

作者： Lian, Jie Zhang, Wen Zhao, Qi Zhang, Tingting Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

ISBN: (纸本)9781839538391

The integrated power and gas system (IPGS) is drawing a lot of attention owing to its superiority in improving energy efficiency. State estimation plays an important role in monitoring the states of IPGS. Considering the different time constants of the IPGS and privacy issues, this paper proposes a distributed real-time state estimation (D-RTSE) method of IPGS based on a cubature Kalman filter (CKF). First, a difference-based model is established for the gas system to depict its slow dynamic characteristics. Subsequently, an RTSE method based on CKF is developed for the IPGS to deal with the system nonlinearity while integrating both the historical and present measurement information. Then, a distributed scheme is designed for the RTSE of the IPGS to enhance computational efficiency and address privacy issues. The 13-bus power system and the 7-node gas system are integrated as the test system. Test results show that the proposed D-RTSE method can efficiently estimate the accurate states of IPGS. © 2022 IET Conference Proceedings. All rights reserved.

关键词： State estimation