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Ride comfort improvement using robust multi-input multi-output fuzzy logic dynamic compensator

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2023年第1期237卷 72-85页

作者： Ozbek, Cengiz Ozguney, Omur Can Burkan, Recep Yagiz, Nurkan Beykent Univ Dept Mech Engn Istanbul Turkey Istanbul Univ Cerrahpasa Dept Mech Engn Istanbul Turkey

This article aims to improve the ride comfort of a vehicle keeping a satisfactory without road-holding performance by a novel adaptive control method that is insensitive to unknown system dynamics, model parameter changes, external disturbances and without any loss in suspension working space. With this purpose in mind, a new fuzzy integrated model-based adaptive control law for vehicle suspension systems is proposed in this study to improve the ride comfort and to ensure the robustness of system towards unknown model parameters and external disturbances. First, a model-based adaptive control law, which has the robust characteristics is presented. Afterwards, a multi-input multi-output fuzzy logic controller is designed to determine the controller gains dynamically. The stability of controller is ensured by Lyapunov Theory to achieve uniform boundedness error convergence. A 4 degree-of-freedom half-car model with active suspension system is used in this study to assess the performance of the controller. The results are compared among passive, model-based adaptive control law-controlled and novel fuzzy model-based adaptive control law-controlled systems. It has been concluded that fuzzy model-based adaptive control law further attenuates linear and angular motions of the vehicle increasing the ride comfort. The robustness is also verified for vehicle components having different possible parameter values. It is noteworthy that suspension working length returns to its initial position. Thus, the vehicle ride comfort is improved with no suspension working space loss. Finally, the economic feasibility of controllers has been checked in terms of energy consumption.

关键词： Ride comfort multi-input multi-output fuzzy logic dynamic compensator unknown system parameters half-car model

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A benchmark system to investigate the non-minimum phase behaviour of multi-input multi-output systems

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Journal of Control and Decision 2018年第3期5卷 300-317页

作者： SaeedReza Tofighi Farshad Merrikh-Bayat Department of Electrical Engineering University of ZanjanZanjanIran

In this paper,the problem of designing a multi-input multi-output(MIMO)systemfor studying the non-minimum phase(NMP)behaviour is *** this purpose,a NMP MIMO circuit is proposed and studied under different *** main reason for designing this circuit is the lack of a simple and flexible benchmark for examining different control *** to the simple structure and capability of showing different NMP characteristics,our proposed system is a suitable choice to study the behaviour of these ***,our proposed system can be extended by series and parallel connections to generate more complicated *** other advantages of this system are the large number of tunable parameters,adjustable interaction,variable number of poles and zeros,and inexpensive ***,this benchmark can be used as a tool for hardware ***,an optimal H∞decoupling control is applied to this benchmark to verify its effectiveness.

关键词： Non-minimum phase system multi-input multi-output optimal H∞decoupling control transmission zero Smith–McMillan form

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multi-input multi-output Magnetoelectric Dipole Antennas Comprising Dual Monopole Feed Antennas for Energy Harvesting

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SENSORS AND MATERIALS 2019年第2期31卷 509-518页

作者： Chen, Wen-Shan Cheng, Chien-Min Zhang, Guang-Ren Southern Taiwan Univ Sci & Technol Dept Elect Engn 1 Nan Tai St Tainan 710 Taiwan

A three-dimensional (3-D) inverted-L multi-input multi-output (MIMO) magnetoelectric dipole antenna comprising two coupled monopole feed antennas is developed for energy-harvesting applications. Additionally, the electromagnetic band-gap (EBG) structure was used to improve the isolation (S-21) of the antennas. The bandwidth of the proposed antenna is up to 42.1% for 3-4.6 GHz, which covers the C-band (5G) applications of 3.3-3.8 GHz. The advantages of the proposed antenna are the following: low cross-polarization;good radiation patterns;stable and high gains (9.55 +/- 0.35 dBi) in the operating band;all simulated and measured return loss of the antennas (S-11 and S-22) are below -10 dB;and the isolation between two antennas is below -15 dB. Finally, the proposed antenna is suitable for modern energy-harvesting and 5G wireless sensor network systems.

关键词： multi-input multi-output energy harvesting magnetoelectric dipole antenna electromagnetic band gap

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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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Closed-loop Control Design for a New multi-input multi-output DC/DC Converter 31

Closed-loop Control Design for a New Multi-input Multi-outpu...

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31st Australasian Universities Power Engineering Conference (AUPEC)

作者： Li, Ran Zhang, Xinan Iu, Herbert Chau, Tat Kei Liu, Yulin Univ Western Australia Dept Elect Elect & Comp Engn Perth WA Australia

ISBN: (纸本)9781665434515

This paper proposes a thorough closed-loop control design guideline for a new multi-input, multi-output DC/DC converter that is capable of integrating various types of power supplies and loads in DC microgrids. The operational characteristics of the studied DC/DC converter are analyzed, and subsequently the small signal model of the generalized N-input, M-output converter is derived. Then, the system transfer function is developed. Based on this, a closed-loop PI control design guideline is presented. Simulation results of a three-input three-output DC/DC converter are presented to verify the efficacy of the proposed control design method.

关键词： multi-input multi-output DC/DC converter DC Microgrid renewable energy

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Line-of-Sight multi-input multi-output Capacity Improvement using Change of Carrier Frequency

Line-of-Sight Multi-Input Multi-Output Capacity Improvement ...

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2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Gill, Satinder Singh Petersen, Brent R. Univ New Brunswick Dept Elect & Comp Engn Fredericton NB Canada

ISBN: (纸本)9781479924325;9781479926596

In this paper, a technique for realizing a low condition number channel matrix for line-of-sight (LOS) multi-input multi-output (MEMO) transmission scenario is presented. The main idea behind the proposed work is to make use of a change in carrier frequency of adjacent transmit antennas to increase the MIMO capacity gain without requiring any additional bandwidth. We derive the criteria for the maximum capacity in terms of difference between carrier frequency for adjacent transmit antennas. The performance of this technique is investigated with the help of simulation results.

关键词： multi-input multi-output Line-of-Sight Ricean Channel MIMO Capacity

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Transfer-learning multi-input multi-output equalizer for mode-division multiplexing systems

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Chinese Optics Letters 2024年第7期22卷 12-18页

作者： Tianfeng Zhao Feng Wen Mingming Tan Baojian Wu Bo Xu Kun Qiu Key Laboratory of Optical Fiber Sensing and Communication Ministry of EducationUniversity of Electronic Science and Technology of ChinaChengdu 611731China Aston Institute of Photonics Technologies Aston UniversityBirmingham B47ETUK

We propose a transfer-learning multi-input multi-output(TL-MIMO)scheme to significantly reduce the required training complexity for converging the equalizers in mode-division multiplexing(MDM)*** on a built three-mode(LP01,LP11a,and LP11b)multiplexed experimental system,we thoughtfully investigate the TL-MIMO performances on the three-typed data,collecting from different sampling times,launching optical powers,and inputting optical signal-to-noise ratios(OSNRs).A dramatic reduction of approximately 40%–83.33%in the required training complexity is achieved in all three ***,the good stability of TL-MIMO in both the launched powers and OSNR test bands has also been proved.

关键词： mode division multiplexing multi-input multi-output transfer learning training complexity

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Matrix Power Control Algorithm for multi-input multi-output Random Vibration Test

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Chinese Journal of Aeronautics 2011年第6期24卷 741-748页

作者： CUI Xuli CHEN Huaihai HE Xudong JIANG Shuangyan MOE Key Laboratory of Structure Mechanics and Control for Aircraft Institute of ~bration Engineering Research Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output （MIMO） random vibration test. During the control process with the difference control algorithm （DCA）, a lower triangular matrix is derived from Cholesky decomposition of a reference spectrum matrix. The diagonal elements of the lower triangular matrix （DELTM） may become negative. These negative values have no meaning in physical significance and can cause divergence of auto-power spectrum control. A proportional root mean square control algorithm （PRMSCA） provides another method to avoid the divergence caused by negative values of DELTM, but PRMSCA cannot control the cross-power spectrum. A new control algorithm named matrix power control algorithm （MPCA） is proposed in the paper. MPCA can guarantee that DELTM is always positive in the auto-power spectrum control. MPCA can also control the cross-power spectrum. After these three control algorithms are analyzed, three-input three-output random vibration control tests are implemented on a three-axis vibration shaker. The results show the validity of the proposed MPCA.

关键词： multi-input multi-output environmental testing vibration control random vibration auto-power spectrum cross-power spectrum

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MIMO-SST: multi-input multi-output Spatial-Spectral Transformer for Hyperspectral and multispectral Image Fusion

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷 1-1页

作者： Fang, Jian Yang, Jingxiang Khader, Abdolraheem Xiao, Liang Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China

The current advanced hyperspectral super-resolution methods utilize convolutional neural networks (CNNs) that are either deeper or wider. These networks are designed to acquire end-to-end mapping capability, facilitating the transformation from low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) to high-resolution HSIs (HR-HSIs). The existing methods lack the capability to capture details and structures in the image effectively, while multi-input multi-output methods can address this issue efficiently. Therefore, this article proposes a novel network architecture named multi-input multi-output spatial-spectral transformer (MIMO-SST). To apply the multi-input multi-output methods in HSI fusion, specifically integrating the spatial-spectral information of LR-HSI and HR-MSI, we introduce multihead feature map attention, multihead feature channel attention, and a multiscale convolutional gated feedforward network, constructing the proposed mixture spatial-spectral Transformer. Moreover, to enhance the expressive power of image edges and recover the sharpened structure details, this study incorporates a novel wavelet-based high-frequency loss into the ultimate comprehensive loss, with the objective of refining the reconstruction of high-frequency details. Experimental studies on three simulated datasets and one real-world dataset demonstrate that the proposed method in this study outperforms contemporary state-of-the-art methods in terms of performance. It is noteworthy that our method exhibits a 0.85-dB improvement in terms of the peak signal-to-noise ratio (PSNR) metric on the Columbia computer vision laboratory (CAVE) dataset compared to state-of-the-art methods. Our code is publicly available at https://***/Freelancefangjian/MIMO-SST.

关键词： Hyperspectral image (HSI) fusion multi-input multi-output Transformer

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Three bounded proofs for nonlinear multi-input multi-output approximate dynamic programming based on the Lyapunov stability theory

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OPTIMAL CONTROL APPLICATIONS & METHODS 2018年第1期39卷 35-50页

作者： Huang, Zhijian Xiong, Xuemei Chen, Wentao Zhang, Qin Liu, Yihua Chen, Yuli Shanghai Maritime Univ Merchant Marine Coll Shanghai 201306 Peoples R China Shanghai Jiao Thng Univ Inst Power Plant & Automat Shanghai 200030 Peoples R China

The approximate dynamic programming needs 2 prerequisites to be an effective optimal control method. Firstly, it must be assured to be stable and convergent before application. Secondly, the control system should mainly he a nonlinear multi-input multi-output form. Thus, this paper introduces a nonlinear multi-input multi-output approximate dynamic programming and proves that it is stable in Lyapunov sense, therefore it is convergent. Besides, the Lyapunov function design is also analyzed. These proofs are based on the Lyapunov stability theory in the form of the utility function of quadratic, square-weighted sum, and absolute value. Thereafter, 3 typical control examples of nonlinear multi-input multi-output approximate dynamic programming arc offered to show their applications and verify the proofs. The proof overcomes the complex derivation, and the results contain 3 practical and systematic bounded proofs. It is for the first time that the proof focuses on nonlinear multi-input multi-output approximate dynamic programming from the view of utility function. What is more, the results can also serve as an effective analysis and guide for the utility function design and the stability criterion of nonlinear multi-input multi-output approximate dynamic programming as well.

关键词： approximate dynamic programming bounded proof convergent emission glider idling Lyapunov stability theory multi-input multi-output nonlinear utility function

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