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IEEE 7th Southern Power Electronics Conference (SPEC)

作者： Madeley, Jesse Karunathilake, Dulmini Vilathgamuwa, Mahinda Mishra, Yateendra Farrell, Troy Corry, Paul Queensland Univ Technol Sch Elect Engn & Robot Brisbane Qld Australia Queensland Univ Technol Sch Math Brisbane Qld Australia

ISBN: (纸本)9798350399882

The proliferation and prevalence of lithium ion batteries has produced a surge in research into electrochemical cell models and the identification of specific unknown cell parameters. Accordingly, optimization methods have become an area of intense investigation for their inherent ability to search problem spaces for model parameters. With the ability to calculate lithium ion cell properties in real time, Battery Management Systems (BMS) would exhibit vast improvements in decision making for prolonging batteries' life span and increasing efficient charging/discharging. The paper analyses the use of nelder-mead simplex algorithm for identifying three age-dependent parameters of a electrochemical cell model. Results indicate accurate parameter identification for simulation and experimental environments. With real time voltage measurements, the applications such as electric vehicles and large power grid batteries would greatly benefit from the use of nelder-mead simplex mentioned throughout this paper.

关键词： Lithium-ion battery parameter estimation nelder-mead simplex algorithm battery electrochemical model

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Efficient Design of Discrete Fractional-Order Differentiators Using nelder-mead simplex algorithm

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2016年第6期35卷 2155-2188页

作者： Rana, K. P. S. Kumar, Vineet Garg, Yashika Nair, Sreejith S. Netaji Subhas Inst Technol Instrumentat & Control Engn New Delhi 110078 India

Applications of fractional-order operators are growing rapidly in various branches of science and engineering as fractional-order calculus realistically represents the complex real-world phenomena in contrast to the integer-order calculus. This paper presents a novel method to design fractional-order differentiator (FOD) operators through optimization using nelder-mead simplex algorithm (NMSA). For direct discretization, Al-Alaoui operator has been used. The numerator and the denominator terms of the resulting transfer function are further expanded using binomial expansion to a required order. The coefficients of z-terms in the binomial expansions are used as the starting solutions for the NMSA, and optimization is performed for a minimum magnitude root-mean-square error between the ideal and the proposed operator magnitude responses. To demonstrate the performance of the proposed technique, six simulation examples for fractional orders of half, one-third, and one-fourth, each approximated to third and fifth orders, have been presented. Significantly improved magnitude responses have been obtained as compared to the published literature, thereby making the proposed method a promising candidate for the design of discrete FOD operators.

关键词： Fractional calculus Fractional-order differentiator Al-Alaoui operator nelder-mead simplex algorithm

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Design and optimization of flexible DGS-based microstrip antenna for wearable devices in the Sub-6 GHz range using the nelder-mead simplex algorithm

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RESULTS IN ENGINEERING 2024年 24卷

作者： Soni, Gaurav Kumar Yadav, Dinesh Kumar, Ashok Jain, Prince Yadav, Manish Varun Manipal Univ Jaipur Dept Elect & Commun Engn Jaipur Rajasthan India Govt Mahila Engn Coll Dept Elect & Commun Engn Ajmer Rajasthan India Parul Univ Parul Inst Technol Dept Mechatron Engn Vadodara Gujarat India Manipal Inst Technol Manipal Acad Higher Educ Dept Aeronaut & Automobile Engn Manipal Karnataka India

This study introduces a nelder-mead simplex algorithm based low-profile, flexible, and wearable defected ground structure (DGS)-loaded deformed microstrip antenna for Sub-6 GHz 5 G applications. It is fabricated on a low-loss 20 mil Rogers RT/Duroid 5880 substrate and the antenna demonstrates robust performance with reflection coefficient magnitude (|S11|) of -22.34 dB with peak gain of about 5.57 dBi at resonant frequency (fr) of 2.185 GHz. Comprehensive key performance metrics such as |S11|, far-field gain patterns, and specific absorption rate (SAR) of the proposed antenna is demonstrated. The SAR for 1 g and 10 g tissues at various separation distances are analyzed and presented by utilizing human multilayer phantom model with antenna. Additionally, the lowest SAR is measured to be 0.0959 W/kg for 1 g of tissue and 0.0755 W/kg for 10 g of tissue when the antenna is placed 0.291 lambda 0 away from the model. The study also explores the proposed antenna performance under various bending conditions for the conformability analysis and in different on-body scenarios, with placement on the hand, leg, and chest. The measured |S11| values, particularly strong on the chest, underscore the antenna effectiveness for wearable technology.

关键词： Flexible antenna Wearable antenna Optimization nelder-mead simplex algorithm Sub 6 GHz DGS SAR

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Non-linear real time optimization using nelder-mead simplex algorithm

Non-linear real time optimization using Nelder-Mead Simplex ...

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11th World Multi-Conference on Systemics, Cybernetics and Informatics/13th International Conference on Information Systems Analysis and Synthesis

作者： Park, In-Kwon Kuffel, Rick RTDS Technol Inc Winnipeg MB R3T 6B6 Canada

ISBN: (纸本)9781934272268

This paper presents the results of a procedure incorporating non-linear optimization algorithms into real time simulation. The nelder-mead simplex algorithm was implemented and tested within RTDS as a part of real time simulation. Test results showed that the total simulation time required by non-linear optimization was greatly reduced when the optimization algorithm was included in the real time execution loop, thereby eliminating any overhead with multiple test point trials.

关键词： nonlinear optimization nelder-mead simplex algorithm RTDS (Real Time Digital Simulator) real time simulation

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Hybrid revised weighted fuzzy c-means clustering with nelder-mead simplex algorithm for generalized multisource Weber problem

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JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2018年第6期31卷 908-924页

作者： Kucukdeniz, Tarik Esnaf, Sakir Istanbul Univ Dept Ind Engn Cerrahpasa Engn Fac Istanbul Turkey

Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM) clustering and nelder-mead (NM) simplex algorithm, called as RWFCM-NM, for generalized multisource Weber problem (MWP). Design/methodology/approach Although the RWFCM claims that there is no obligation to sequentially use different methods together, NM's local search advantage is investigated and performance of the proposed hybrid algorithm for generalized MWP is tested on well-known research data sets. Findings Test results state the outstanding performance of new hybrid RWFCM and NM simplex algorithm in terms of cost minimization and CPU times. Originality/value Proposed approach achieves better results in continuous facility location problems.

关键词： Generalized multisource Weber problem nelder-mead simplex algorithm Revised weighted fuzzy c-means clustering

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Background Images Generation Based on the nelder-mead simplex algorithm Using the Eigenbackground Model

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8th International Conference on Image Analysis and Recognition (ICIAR) / 2nd International Conference on Autonomous and Intelligent Systems (AIS)

作者： Quivy, Charles-Henri Kumazawa, Itsuo Tokyo Inst Technol Dept Informat Proc Midori Ku Yokohama Kanagawa Japan

ISBN: (纸本)9783642215926;9783642215933

The Eigenbackground model is often stated to perform better than pixel-based methods when illumination variations occur. However, it has originally one demerit, that foreground objects must be small. This paper presents an original improvement of the Eigenbackground model, dealing with large and fast moving foreground objects. The method generates background images using the nelder-mead simplex algorithm and a dynamic masking procedure. Experiments show that the proposed method performs as well as the state-of-the-art Eigenbackground improvements in the case of slowly moving objects, and achieves better results for quickly moving objects.

关键词： Background subtraction Eigenbackground model nelder-mead simplex algorithm

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A method for magnetocardiography functional localization based on boundary element method and nelder-mead simplex algorithm

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ANNALS OF NONINVASIVE ELECTROCARDIOLOGY 2021年第6期26卷 e12879-e12879页

作者： Lu, Zhihong Jiang, Dingsong Yang, Jianzhong Tsinghua Univ Dept Precis Instrument Beijing Peoples R China Beijing Innovat Ctr Future Chips Beijing Peoples R China State Key Lab Precis Measurement Technol & Instru Beijing Peoples R China

Background The magnetocardiography (MCG) functional localization can transfer the biomagnetic signal to the electrical activity information inside the heart. The electrical activity is directly related to the physiological function of the heart. Methods This study proposes a practical method for MCG functional localization based on the boundary element method (BEM) and the nelder-mead (NM) simplex algorithm. Single equivalent moving current dipole (SEMCD) is served as the equivalent cardiac source. The parameters of SEMCD are adapted using the NM simplex algorithm by fitting the measured MCG with the calculated MCG obtained based on BEM. The SEMCD parameters are solved in the sense that the difference between measured and calculated MCG is minimized. Results The factors affecting the localization accuracy of this BEM-NM method were first explored with synthetic signals. Then, the results with real MCG signals show a good agreement between the SEMCD location and the region where ventricle depolarization starts, demonstrating the feasibility of this idea. Conclusions This is the first three-dimensional localization of the onset of ventricular depolarization with the BEM-NM method. The method is promising in the noninvasive localization of lesions for heart diseases.

关键词： boundary element method inverse problem magnetocardiography modeling nelder-mead simplex algorithm single equivalent moving current dipole

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Electrodes Deployment for IRE Tumor Ablation based on the nelder-mead simplex algorithm

Electrodes Deployment for IRE Tumor Ablation based on the Ne...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Haiyan Zhang Jianxun Zhang Xiao Zhang Yucyong Xiao Ningbo Yu Institute of Robotics and Automatic Information Systems Nankai University Department of Radiology the PLA General Hospital

ISBN: (纸本)9781538604915

Tumor is a major threat to human health. Compared with other treatment methods, the irreversible electroporation (IRE) technology can ablate the tumor with shorter time and retain the vascular, nerve and other important tissue, showing great clinical application prospects. However, there are stringent constraints on the electrodes deployment and thus high skills are required from the surgeon, which restricts this effective technology from being applied in a larger scale. In this paper, we propose a method to plan the IRE electrodes deployment with given medical images of the tumor region. First, we formulated the constraints for IRK electrodes deployment based on its working principles and clinical requirements for tumor ablation. Then, we established a framework to take in the medical images and transform the electrodes deployment problem into a complex optimization problem with multiple variables. After that, the nelder-mead simplex algorithm was adapted to solve the optimization problem and find a solution for IRE deployment. The tumor region can be ablated with the minimal number of electrodes. The proposed method was tested on real tumor data from medical CT scans, and its efficacy has been validated. Thus, we have established an automated electrodes deployment planning method for IRE tumor ablation surgery.

关键词： nelder-mead simplex algorithm Tumours deployment Electrodes human health operating principles ABLATION

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Learner Phase of Partial Reinforcement Optimizer with nelder-mead simplex for Parameter Extraction of Photovoltaic Models

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Journal of Bionic Engineering 2024年第6期21卷 3041-3075页

作者： Jinpeng Huang Zhennao Cai Ali Asghar Heidari Lei Liu Huiling Chen Guoxi Liang Department of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhou325035China School of Surveying and Geospatial Engineering College of EngineeringUniversity of TehranTehran***Iran College of Computer Science Sichuan UniversityChengdu610065SichuanChina Department of Artificial Intelligence Wenzhou PolytechnicWenzhou325035China

This paper proposes an improved version of the Partial Reinforcement Optimizer(PRO),termed *** LNPRO has undergone a learner phase,which allows for further communication of information among the PRO population,changing the state of the PRO in terms of ***,the nelder-mead simplex is used to optimize the best agent in the population,accelerating the convergence speed and improving the accuracy of the PRO *** comparing LNPRO with nine advanced algorithms in the IEEE CEC 2022 benchmark function,the convergence accuracy of the LNPRO has been *** accuracy and stability of simulated data and real data in the parameter extraction of PV systems are *** to the PRO,the precision and stability of LNPRO have indeed been enhanced in four types of photovoltaic components,and it is also superior to other excellent *** further verify the parameter extraction problem of LNPRO in complex environments,LNPRO has been applied to three types of manufacturer data,demonstrating excellent results under varying irradiation and *** summary,LNPRO holds immense potential in solving the parameter extraction problems in PV systems.

关键词： Partial reinforcement optimizer Learner phase nelder-mead simplex algorithm Parameter extraction

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Multistart nelder-mead Neural Network algorithm for Earthquake Source Parameter Inversion of 2017 Bodrum-Kos Earthquake

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JOURNAL OF SURVEYING ENGINEERING 2021年第3期147卷 04021014-04021014页

作者： Wang, Leyang Xu, Ranran East China Univ Technol Fac Geomat Nanchang 330013 Jiangxi Peoples R China

A multistart nelder-mead neural network algorithm (multi NM-NNA) is presented, the purpose of which is to solve the problem that the existing nonlinear search algorithms are unstable when inversing earthquake source parameters with GPS data. Multi NM-NNA uses the nonuniform sampling strategy to generate the initial starting points to reduce manual intervention, and the nelder-mead simplex algorithm is used to optimize the local optimization capability of the NNA. Different GPS stations and fault types are simulated, and the NNA, hybrid particle swarm optimization (PSO)/simplex algorithm [multipeaks particle swarm optimization (MPSO)], and NM-NNA are used to perform earthquake source parameter inversion, respectively. The simulation experiment results show that the calculation precision of the NM-NNA is not affected by the number of stations, and it has better stability in the inversion of different fault types. Compared with the NNA and MPSO, the NM-NNA is more suitable for earthquake source parameter inversion, and the computational efficiency is higher than the NNA. The NNA, MPSO, NM-NNA, and multi NM-NNA are used to invert the earthquake source parameters of the Bodrum-Kos earthquake and carry out the precision estimation of the parameters. Experimental results show that the parameter estimates inverted by the multi NM-NNA are closer to the existing research results and have smaller standard deviation. It is shown that inversion uncertainty of the multi NM-NNA is lower, the calculation results are more stable, and the computational efficiency of the multi NM-NNA is higher than NNA. In the complex and changeable earthquake environment, the multi NM-NNA has greater application potential.

关键词： Earthquake source parameters Multistart nelder-mead simplex algorithm Neural network algorithm (NNA) Precision estimation GPS data

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