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Control method for multi-input multi-output non-Gaussian random vibration test with cross spectra consideration

Chinese Journal of Aeronautics 2017年第6期30卷 1895-1906页

作者： Ronghui ZHENG Huaihai CHEN Xudong HE State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

A control method for multi-input multi-output（MIMO） non-Gaussian random vibration test with cross spectra consideration is proposed in the paper. The aim of the proposed control method is to replicate the specified references composed of auto spectral densities, cross spectral densities and kurtoses on the test article in the laboratory. It is found that the cross spectral densities will bring intractable coupling problems and induce difficulty for the control of the multioutput kurtoses. Hence, a sequential phase modification method is put forward to solve the coupling problems in multi-input multi-output non-Gaussian random vibration test. To achieve the specified responses, an improved zero memory nonlinear transformation is utilized first to modify the Fourier phases of the signals with sequential phase modification method to obtain one frame reference response signals which satisfy the reference spectra and reference kurtoses. Then, an inverse system method is used in frequency domain to obtain the continuous stationary drive signals. At the same time, the matrix power control algorithm is utilized to control the spectra and kurtoses of the response signals further. At the end of the paper, a simulation example with a cantilever beam and a vibration shaker test are implemented and the results support the proposed method very well.

关键词： Cross spectra Kurtosis control multi-input multi-output Non-Gaussian Random vibration test

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Power Management System for multi-input multi-output Energy Harvesters using Fuzzy Logic 8

Power Management System for Multi-input Multi-output Energy ...

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2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)

作者： Porras, Carl Justin Vincent G. Santiago, Gianne Klarisse Q. Soriano, Katrina Ysabel M. Sumabat, Cara Martha R. Albao, Justine D. Dela Cruz, Angelo R. Vicerra, Ryan Rhay P. Roxas, Edison A. Univ Santo Tomas Dept Elect Engn Manila Philippines

ISBN: (纸本)9781509003600

With the increase in energy consumption, the concept of harvesting energy in the surroundings awaken a renewed interest. Scarcity of resources has been a great matter to all and researchers have been innovating new methods in harvesting energy. A power management system (PMS) is needed to manage and maximize the output energy coming from the piezoelectric and solar photovoltaic harvesters. However, there is no existing PMS for multi-input multi-output (MIMO) specified for the said harvesters. Hence, this paper focuses on the development of a fuzzy logic controller implemented in the PMS with the use of Fuzzy Interface System of MATLAB in order to achieve a better overall performance and utilization of the distribution of the generated energy from the harvester. In addition, the simulation and behavior of the decision making for the PMS was obtained.

关键词： Power Management System multi-input multi-output Hybrid Energy Harvester Fuzzy Logic

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Stable and efficient hybrid controller of solar thermal membrane reactor based on machine learning and multi-objective optimization

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ENERGY 2025年 320卷

作者： Tang, Xin-Yuan Yang, Wei-Wei Li, Jia-Chen Zhang, Jia-Rui Lin, Yi-Wan Xi An Jiao Tong Univ Sch Energy & Power Engn Key Lab Thermo Fluid Sci & Engn MOE Xian Peoples R China

Ensuring the efficient and stable operation of solar thermal devices under variable solar energy conditions is important and challenging. This study develops a hybrid feedforward feedback (FF-FB) control method for solar thermal-driven membrane reactor (STMR) to achieve multiple targets of stable conversion, low preheating input, and efficient hydrogen production and separation. The feedforward control part of the hybrid control method consists of multi-objective optimization based on machine learning model, and the feedback control part utilizes optimized PI control. The effects of control methods are tested under step and real continuous solar radiation. The results show that the FF-FB control combines the predictability of feedforward and the stability of feedback, giving FF-FB control the best overall performance. Also, under high frequency and high amplitude fluctuations of continuous solar radiation, the methane conversion in FF-FB control shows only an average deviation of 2.1 x 10-4 with a maximum of 1.16 x 10-3. The FF-FB control relatively improves the hydrogen yield by 33 % and hydrogen recovery by 43 % compared to the feedback control, while reducing the input preheat ratio by 30 %. The robustness of the hybrid FF-FB control effect is still maintained under multiple realistic error scenarios, and the average errors are all within 3 x 10-4.

关键词： Hybrid feedforward feedback control Hydrogen production Machine learning multi-input multi-output multi-objective optimization Solar membrane reactor

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Structural response reconstruction using a system-equivalent singular vector basis

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2025年 227卷

作者： Coletti, Keaton Davis, R. Benjamin Schultz, Ryan Univ Georgia Coll Engn Athens GA 30602 USA Sandia Natl Labs Albuquerque NM 87185 USA

This paper develops a novel method for reconstructing the full-field response of structural dynamic systems using sparse measurements. The singular value decomposition is applied to a frequency response matrix relating the structural response to physical loads, base motion, or modal loads. The left singular vectors form a non-physical reduced basis that can be used for response reconstruction with far fewer sensors than existing methods. The contributions of the singular vectors to measured response are termed singular-vector loads (SVLs) and are used in a regularized Bayesian framework to generate full-field response estimates and confidence intervals. The reconstruction framework is applicable to the estimation of single data records and power spectral densities from multiple records. Reconstruction is successfully performed in configurations where the number of SVLs to identify is less than, equal to, and greater than the number of sensors used for reconstruction. In a simulation featuring a seismically excited shear structure, SVL reconstruction significantly outperforms modal FRFbased reconstruction and successfully estimates full-field responses with as few as two uniaxial accelerometers. SVL reconstruction is further verified in a simulation featuring an acoustically excited cylinder. Finally, response reconstruction and uncertainty quantification are performed on an experimental structure with three shaker inputs and 27 triaxial accelerometer outputs.

关键词： Response reconstruction Response expansion Uncertainty quantification Bayesian multi-input multi-output

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Circularly Polarized MIMO Antenna System for Millimeter Wave 5G Applications Using Characteristic Mode Theory

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INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2025年第5期38卷

作者： Modak, Sumon Farooq, Umar Lokam, Anajaneyulu Natl Inst Technol Warangal Dept Elect & Commun Engn Hanamkonda Telangana India VNR Vignana Jyothi Inst Technol Hyderabad Dept Elect & Commun Engn Hyderabad Telangana India

This study introduces a quad-port multi-input multi-output antenna design specifically suited for fifth-generation wireless technology. The antenna geometry is characterized by a flower-shaped configuration, featuring five petals complemented by a circular slot, positioned in the ground plane to improve operational bandwidth. The effective realization of wide-band characteristics has been studied utilizing the analysis of characteristic modes. The design antenna demonstrates simulated performance parameters that cover the millimeter-wave frequency band from 25.6 to 32.4 GHz, delivering a maximum gain of 6.1 dBi and ensuring minimum port isolation of > 15 dB across all ports. In addition, a circular stub is purposefully positioned over the slot to facilitate circular polarization radiation behavior at 26.3 GHz, exhibiting an axial ratio bandwidth of 0.5 GHz (26-26.5 GHz). Further, the proposed antenna design is subjected to validation encompassing diversity metrics. The proposed antenna structure is successfully fabricated, and its performance is experimentally validated. A comprehensive comparative analysis is then conducted to evaluate its alignment with the simulated results.

关键词： antenna characteristic mode analysis circular polarization fifth generation flower shaped millimeter wave multi-input multi-output

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A Hybrid Integrated and Low-Cost multi-Chip Broadband Doherty Power Amplifier Module for 5G Massive MIMO Application

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Engineering 2024年第7期38卷 223-232页

作者： Fei Huang Guansheng Lv Huibo Wu Wenhua Chen Zhenghe Feng Department of Electronic Engineering Tsinghua UniversityBeijing 100084China

In this paper,a hybrid integrated broadband Doherty power amplifier(DPA)based on a multi-chip module(MCM),whose active devices are fabricated using the gallium nitride(GaN)process and whose passive circuits are fabricated using the gallium arsenide(GaAs)integrated passive device(IPD)process,is proposed for 5G massive multiple-input multiple-output(MIMO)*** inverted DPA structure with a low-Q output network is proposed to achieve better bandwidth performance,and a single-driver architecture is adopted for a chip with high gain and small *** proposed DPA has a bandwidth of 4.4-5.0 GHz that can achieve a saturation of more than 45.0 *** gain compression from 37 dBm to saturation power is less than 4 dB,and the average power-added efficiency(PAE)is 36.3%with an 8.5 dB peak-to-average power ratio(PAPR)in 4.5-5.0 *** measured adjacent channel power ratio(ACPR)is better than50 dBc after digital predistortion(DPD),exhibiting satisfactory linearity.

关键词： 5G Doherty power amplifier multi-input multi-output multi-chip modules Hybrid integrated

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Optimization of Robust and Secure Transmit Beamforming for Dual-Functional MIMO Radar and Communication Systems

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REMOTE SENSING 2025年第5期17卷 816-816页

作者： Chen, Zhuochen Li, Ximin Zhu, Shengqi Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China

This paper investigates a multi-antenna, multi-input multi-output (MIMO) dual-functional radar and communication (DFRC) system platform. The system simultaneously detects radar targets and communicates with downlink cellular users. However, the modulated information within the transmitted waveforms may be susceptible to eavesdropping. To ensure the security of information transmission, we introduce non-orthogonal multiple access (NOMA) technology to enhance the security performance of the MIMO-DFRC platform. Initially, we consider a scenario where the channel state information (CSI) of the radar target (eavesdropper) is perfectly known. Using fractional programming (FP) and semidefinite relaxation (SDR) techniques, we maximize the system's total secrecy rate under the requirements for radar detection performance, communication rate, and system energy, thereby ensuring the security of the system. In the case where the CSI of the radar target (eavesdropper) is unavailable, we propose a robust secure beamforming optimization model. The channel model is represented as a bounded uncertainty set, and by jointly applying first-order Taylor expansion and the S-procedure, we transform the original problem into a tractable one characterized by linear matrix inequalities (LMIs). Numerical results validate the effectiveness and robustness of the proposed approach.

关键词： multi-input multi-output dual-functional radar and communication radar transmit beamforming non-orthogonal multiple access secure transmission

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Energy optimization for full-duplex wireless-powered IoT networks using rotary-wing UAV with multiple antennas

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COMPUTER COMMUNICATIONS 2024年 215卷 62-73页

作者： Fathollahi, Leyla Feghhi, Mahmood Mohassel Atashbar, Mahmoud Univ Tabriz Fac Elect & Comp Engn Tabriz Iran Azarbaijan Shahid Madani Univ Dept Elect Engn Tabriz Iran

In this paper, we propose a novel design for the rotary-wing unmanned aerial vehicle (UAV)-enabled full-duplex (FD) wireless-powered Internet of Things (IoT) networks. In this network, the UAV is equipped with an antenna array, and the K IoT sensors, which are distributed randomly, use single-antenna to communicate. By sending the energy, the UAV as a hybrid access point, charges the sensors and collects information from them. Then, to manage the time and optimize the energy, the sensors are divided into N groups, so that the UAV equipped with multi-input multi-output (MIMO) technology can serve the sensors in a group, during the total time T. We provide a simple implementation of the wireless power transfer protocol in the sensors by using the time division multiple access (TDMA) scheme to receive information from the users. In other words, the sensors of each group receive energy from the UAV, when it hovers over the sensors of the previous group, and also when the UAV flies over the previous group to the current group. The sensors of each group send their information to the UAV, when the UAV is hovering over their group. Under these assumptions, we formulate two optimization problems: a sum throughput maximization problem, and a total time minimization problem. Numerical results show that our proposed optimal network provides better performance than the existing networks. In fact, our novel design can serve more sensors at the cost of using more antennas compared to that of the conventional networks.

关键词： Internet of things Unmanned aerial vehicle multi-input multi-output Wireless power transfer protocol Convex optimization

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An Efficient Hierarchical User Grouping and Successive Group Search Approximation Based Beam-Forming Method for IRS-Aided Millimeter-Wave Networks with NOMA

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WIRELESS PERSONAL COMMUNICATIONS 2024年第1期138卷 171-188页

作者： Ramakrishna, Alajangi Kumari, K. Karuna GITAM Dept EECE Visakhapatnam 530041 Andhra Pradesh India GITAM Visakhapatnam 530045 Andhra Pradesh India

The combination of non-orthogonal multiple access (NOMA) and intelligent reflective surface (IRS) is an efficient solution to significantly increase the energy efficiency of the wireless communication system. This paper considers a downlink IRS-based Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO)-NOMA system. In this work, a two-layer hierarchical AGglomerative NESting- DIvisie ANAlysis Clustering Algorithm (AGNES-DIANA) user grouping (2L-HAD-UG) is proposed to group users. In the proposed 2L-HAD-UG, the first layer will use the AGNES algorithm to efficiently group the users into different clusters. After the first level of clustering, some user groups are larger than others, and perhaps some users with weakly correlated channels are assigned to the same groups. To address these concerns, the large user groups are divided into several smaller groups, and each user whose channels are weakly correlated is isolated as a separate group. In the second layer, the DIANA Hierarchical Clustering is used to divide the larger clusters based on the channel correlation value. After user grouping, a new joint active and passive beam-forming design problem is formulated to maximize the achievable rate of each user in each cluster under the Quality of Service (QoS) requirements of other users, the conditions of Successive Interference Cancellation (SIC) decoding rate, the constraints of IRS reflection components and the transmission power restrictions. The formulated optimization problem is solved by proposing a new Successive Chaotic Group Search Approximation (SCGSA) algorithm. With the proposed massive mmWave MIMO-NOMA system, the spectral efficiency, energy efficiency, and sum rate are achieved to 18.56 bits per second (bps)/Hertz (Hz), 57.56 bps/Hz/Watt (W) and 21.58 bps/Hz, respectively.

关键词： Massive mmWave Non-orthogonal multiple access multi-input multi-output User grouping Clustering Hybrid beam-forming Successive Chaotic group search approximation

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Exploiting Faster-Than-Nyquist Signaling for MIMO Covert Communications: A Low-Complexity Design

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第5期73卷 7322-7327页

作者： Zhang, Yuchen Ning, Boyu Ni, Wanli Wang, Jianquan Tang, Wanbin Niyato, Dusit Univ Elect Sci & Technol China Natl Key Lab Wireless Commun Chengdu 611731 Peoples R China Kash Inst Elect & Informat Ind Kash 844000 Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore 639798 Singapore

In this article, we present an investigation into the use of faster-than-Nyquist (FTN) signaling in multiple-input multiple-output (MIMO) covert communications with a multi-antenna warden. We formulate an optimization problem to maximize the covert rate subject to the covertness and transmit power constraints. Due to the dimensional expansion of variables, solving the formulated problem by conventional convex optimization method incurs unaffordable computational overhead. To circumvent this issue, we propose a low-complexity linear precoding and equalization method to nullify the energy leakage towards the warden while decoupling the MIMO FTN signaling into independent substreams simultaneously, and allocate the power by a new scaled water-filling approach. Numerical results validate the superiority of FTN signaling in MIMO covert communications over the Nyquist counterpart, and also show the effectiveness of our proposed scheme, which merely causes minor performance loss compared to the optimal baseline.

关键词： MIMO communication Symbols Precoding Resource management Receiving antennas Electronic mail Wireless communication Covert communications faster-than-Nyquist signaling multi-input multi-output power allocation

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