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An Extended Algorithm of Flexibility Analysis in Chemical Engineering Processes 认领 引用 被引量：3
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作者 徐强 陈丙珍 何小荣 《Chinese Journal of Chemical Engineering》 SCIE EI CAS 2001年第1期51-57,共7页
An extended algorithm of flexibility analysis with a local adjusting method for flexibility region of chemical processes, which is based on the active constraint strategy, is proposed, which fully exploits the flexibi... An extended algorithm of flexibility analysis with a local adjusting method for flexibility region of chemical processes, which is based on the active constraint strategy, is proposed, which fully exploits the flexibility region of the process system operation. The hyperrectangular flexibility region determined by the extended algorithm is larger than that calculated by the previous algorithms. The limitation of the proposed algorithm due to imperfect convexity and its corresponding verification measure are also discussed. Both numerical and actual chemical process examples are presented to demonstrate the effectiveness of the new algorithm. 展开更多
关键词 flexibility analysis extended algorithm active constraint strategy
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Solution of Algebraic Lyapunov Equation on Positive-Definite Hermitian Matrices by Using Extended Hamiltonian Algorithm 认领 引用 被引量：2
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作者 Muhammad Shoaib Arif Mairaj Bibi Adnan Jhangir 《Computers, Materials & Continua》 SCIE EI 2018年第2期181-195,共15页
This communique is opted to study the approximate solution of the Algebraic Lyapunov equation on the manifold of positive-definite Hermitian matrices.We choose the geodesic distance betweenAHXXA and P as the cost func... This communique is opted to study the approximate solution of the Algebraic Lyapunov equation on the manifold of positive-definite Hermitian matrices.We choose the geodesic distance betweenAHXXA and P as the cost function,and put forward the Extended Hamiltonian algorithm(EHA)and Natural gradient algorithm(NGA)for the solution.Finally,several numerical experiments give you an idea about the effectiveness of the proposed algorithms.We also show the comparison between these two algorithms EHA and NGA.Obtained results are provided and analyzed graphically.We also conclude that the extended Hamiltonian algorithm has better convergence speed than the natural gradient algorithm,whereas the trajectory of the solution matrix is optimal in case of Natural gradient algorithm(NGA)as compared to Extended Hamiltonian Algorithm(EHA).The aim of this paper is to show that the Extended Hamiltonian algorithm(EHA)has superior convergence properties as compared to Natural gradient algorithm(NGA).Upto the best of author’s knowledge,no approximate solution of the Algebraic Lyapunov equation on the manifold of positive-definite Hermitian matrices is found so far in the literature. 展开更多
关键词 Information geometry algebraic lyapunov equation positive-definite hermitianmatrix manifold natural gradient algorithm extended hamiltonian algorithm
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An extended particle swarm optimization algorithm based on coarse-grained and fine-grained criteria and its application 认领 引用 被引量：2
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作者 李星梅 张立辉 +1 位作者 乞建勋 张素芳 《Journal of Central South University of Technology》 2008年第1期141-146,共6页
In order to study the problem that particle swarm optimization (PSO) algorithm can easily trap into local mechanism when analyzing the high dimensional complex optimization problems, the optimization calculation using... In order to study the problem that particle swarm optimization (PSO) algorithm can easily trap into local mechanism when analyzing the high dimensional complex optimization problems, the optimization calculation using the information in the iterative process of more particles was analyzed and the optimal system of particle swarm algorithm was improved. The extended particle swarm optimization algorithm (EPSO) was proposed. The coarse-grained and fine-grained criteria that can control the selection were given to ensure the convergence of the algorithm. The two criteria considered the parameter selection mechanism under the situation of random probability. By adopting MATLAB7.1, the extended particle swarm optimization algorithm was demonstrated in the resource leveling of power project scheduling. EPSO was compared with genetic algorithm (GA) and common PSO, the result indicates that the variance of the objective function of resource leveling is decreased by 7.9%, 18.2%, respectively, certifying the effectiveness and stronger global convergence ability of the EPSO. 展开更多
关键词 particle swarm extended particle swarm optimization algorithm resource leveling
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CONVERGENCE OF A MODIFIED SLP ALGORITHM FOR THE EXTENDED LINEAR COMPLEMENTARITY PROBLEM 认领 引用
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作者 XIU Naihua +1 位作者 GAO Ziyou 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2001年第5期602-608,共7页
A modified sequential linear programming algorithm is presented, whose subproblem is always solvable, for the extended linear complementarity problem (XLCP), the global convergence of the algorithm under assumption of... A modified sequential linear programming algorithm is presented, whose subproblem is always solvable, for the extended linear complementarity problem (XLCP), the global convergence of the algorithm under assumption of X-row sufficiency or X-colunm monotonicity is proved. As a result, a sufficient condition for existence and boundedness of solution to the XLCP are obtained. 展开更多
关键词 extended linear complementarity problem modified SLP algorithm global convergence
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Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System 认领 引用
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作者 M.Adimoolam K.Maithili +7 位作者 N.M.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan 《Intelligent Automation & Soft Computing》 2024年第1期33-55,共23页
At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)algorithms.Although various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns st... At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)algorithms.Although various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system symmetrically.Therefore,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative rates.In addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were shown.The results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten iterations.Whereas in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved parameters.Thus EDLA algorithm introduces novelty concerning its performance and particular activation function.This proposed method will be utilized effectively in brain tumor detection in a precise and accurate manner.This algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses aftermodification.If the quantity of dataset records is enormous,then themethod’s computation power has to be updated. 展开更多
关键词 Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning
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Adaptive Sliding Mode Control With Linear Extended State Observer for Active Magnetic Bearing-Rotor Systems 认领 引用 被引量：1
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作者 Yaozhong Zheng Hai-Tao Zhang +3 位作者 Ziheng Yu Xiang Huang Haichao Jiao Han Ding 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第8期1736-1738,共3页
Dear Editor,Active magnetic bearings(AMBs)are of considerable interest and significance in smart manufacturing due to their zero-friction and adaptivity to noncontact rotor rotations.This paper proposes an active levi... Dear Editor,Active magnetic bearings(AMBs)are of considerable interest and significance in smart manufacturing due to their zero-friction and adaptivity to noncontact rotor rotations.This paper proposes an active levitation control algorithm based on adaptive sliding mode control(ASMC)equipped with linear extended state observer(LESO).Sufficient conditions are derived to guarantee the asymptotical stability of the associated closed-loop system.Experiments are conducted on a real AMB-rotor platform to demonstrate the effectiveness and superiority of the proposed algorithm. 展开更多
关键词 smart manufacturing linear extended state observer leso sufficient active magnetic bearing rotor systems adaptive sliding mode control magnetic bearings ambs adaptive sliding mode control asmc equipped active levitation control algorithm
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GLOBAL OPTIMIZATION OF PUMP CONFIGURATION PROBLEM USING EXTENDED CROWDING GENETIC ALGORITHM 认领 引用 被引量：3
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作者 ZhangGuijun WuTihua YeRong 《Chinese Journal of Mechanical Engineering》 EI CAS 2004年第2期247-252,共6页
An extended crowding genetic algorithm (ECGA) is introduced for solvingoptimal pump configuration problem, which was presented by T. Westerlund in 1994. This problem hasbeen found to be non-convex, and the objective f... An extended crowding genetic algorithm (ECGA) is introduced for solvingoptimal pump configuration problem, which was presented by T. Westerlund in 1994. This problem hasbeen found to be non-convex, and the objective function contained several local optima and globaloptimality could not be ensured by all the traditional MINLP optimization method. The concepts ofspecies conserving and composite encoding are introduced to crowding genetic algorithm (CGA) formaintain the diversity of population more effectively and coping with the continuous and/or discretevariables in MINLP problem. The solution of three-levels pump configuration got from DICOPT++software (OA algorithm) is also given. By comparing with the solutions obtained from DICOPT++, ECPmethod, and MIN-MIN method, the ECGA algorithm proved to be very effective in finding the globaloptimal solution of multi-levels pump configuration via using the problem-specific information. 展开更多
关键词 Pump configuration problem Extended crowding genetic algorithm Speciesconserving Composite encoding Global optimization
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Two Bit-Serial Architectures for Check Node Update in Min-Sum Decoding of LDPC Codes 认领 引用
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作者 Hu Qing He Xuan +2 位作者 Luo Lisha Cai Kui Tang Xiaohu 《China Communications》 SCIE EI CSCD 2026年第3期142-150,共9页
Implementing check node(CN)update based on the minimum value(MV)and second MV of incoming message magnitudes is crucial for Min-Sum Algorithms(MSAs).In the category of bit-serial implementations,existing schemes suffe... Implementing check node(CN)update based on the minimum value(MV)and second MV of incoming message magnitudes is crucial for Min-Sum Algorithms(MSAs).In the category of bit-serial implementations,existing schemes suffer from decoding performance degradation,large hardware areas,and/or long latency.In this paper,we propose two efficient CN update functions based on the MV and an approximate second MV,and design bit-serial architectures to implement them.Simulation results show that our functions exhibit the minimum decoding performance degradation compared to the existing functions using approximate second MVs.Moreover,the applicationspecific integrated circuits(ASIC)implementation results demonstrate the advantages of our architectures in terms of area,latency,etc. 展开更多
关键词 bit-serial check node update hardware implementation LDPC code min-sum algorithm
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WSN Mobile Target Tracking Based on Improved Snake-Extended Kalman Filtering Algorithm 认领 引用 被引量：1
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作者 Duo Peng Kun Xie Mingshuo Liu 《Journal of Beijing Institute of Technology》 EI CAS 2024年第1期28-40,共13页
A wireless sensor network mobile target tracking algorithm(ISO-EKF)based on improved snake optimization algorithm(ISO)is proposed to address the difficulty of estimating initial values when using extended Kalman filte... A wireless sensor network mobile target tracking algorithm(ISO-EKF)based on improved snake optimization algorithm(ISO)is proposed to address the difficulty of estimating initial values when using extended Kalman filtering to solve the state of nonlinear mobile target tracking.First,the steps of extended Kalman filtering(EKF)are introduced.Second,the ISO is used to adjust the parameters of the EKF in real time to adapt to the current motion state of the mobile target.Finally,the effectiveness of the algorithm is demonstrated through filtering and tracking using the constant velocity circular motion model(CM).Under the specified conditions,the position and velocity mean square error curves are compared among the snake optimizer(SO)-EKF algorithm,EKF algorithm,and the proposed algorithm.The comparison shows that the proposed algorithm reduces the root mean square error of position by 52%and 41%compared to the SOEKF algorithm and EKF algorithm,respectively. 展开更多
关键词 wireless sensor network(WSN)target tracking snake optimization algorithm extended Kalman filter maneuvering target
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基于YOLOv8-Extend的害虫目标检测算法分析 认领 引用
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作者 孙佳人 杨汝欣 +1 位作者 邓宣任 刘宗超 《中国高新科技》 2026年第9期144-145,148,共2页
为促进农作物产量提升,检测农作物害虫至关重要。通过检测方法的引入,实现对害虫的精准识别,解决农业生产过程中害虫识别存在的问题,对提升检测效率和精度具有十分重要的意义。针对害虫目标小、与农作物拟态的特点,导致检测精度和效率... 为促进农作物产量提升,检测农作物害虫至关重要。通过检测方法的引入,实现对害虫的精准识别,解决农业生产过程中害虫识别存在的问题,对提升检测效率和精度具有十分重要的意义。针对害虫目标小、与农作物拟态的特点,导致检测精度和效率均偏低的问题,提出基于YOL0v8-Extend的害虫目标检测算法。①对GSConv进行应用,使模型感受野提高,并通过轻量化幻影卷积替换部分ConV,同时采用HorBlock,用于实现对长期特征依赖关系的精准捕捉。②使用损失函数对一般质量样本予以关注,使模型泛化和整体性能增强。③通过试验的方式,验证模型的实际应用效果。研究结果表明,相较于基础模型,改进后的Y0L0v8-Extend模型拥有更高的检测效率和精度,在计算机中部署有助于实现对害虫目标的全天候检测。文章研究可为相关行业提供借鉴。 展开更多
关键词 YOL0v8-Extend 害虫目标 检测算法
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Extended Active Contour Algorithm Based on Color Variance 认领 引用
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作者 Seung-tae LEE Young-jun HAN Hern-soo HAHN 《Journal of Measurement Science and Instrumentation》 CAS 2010年第1期50-53,共4页
General active contour algorithm, which uses the intensity of the image, has been used to actively segment objects. Because the objects have a similar intensity but different colors, it is difficult to segment any obj... General active contour algorithm, which uses the intensity of the image, has been used to actively segment objects. Because the objects have a similar intensity but different colors, it is difficult to segment any object from the others, Moreover, this algodthm can only be used in the simple environment since it is very sensitive to noise. In tinter to solve these problems. This paper proposes an extended active contour algorithm based on a color variance. In complex images, the color variance energy as the image energy is introduced into the general active contour algorithm. Experimental results show that the proposed active contour algorithm is very effective in various environments. 展开更多
关键词 extended active contour algorithm color variance segmentaion method
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A Numerical Study of the TipWake of aWind Turbine Impeller Using Extended Proper Orthogonal Decomposition 认领 引用 被引量：6
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作者 Weimin Wu Chuande Zhou 《Fluid Dynamics & Materials Processing》 EI 2020年第5期883-901,共19页
The behavior of the tip wake of a wind turbine is one of the hot issues in the wind power field.This problem can partially be tackled using Computational Fluid Dynamics(CFD).However,this approach lacks the ability to ... The behavior of the tip wake of a wind turbine is one of the hot issues in the wind power field.This problem can partially be tackled using Computational Fluid Dynamics(CFD).However,this approach lacks the ability to provide insights into the spatial structure of important high-order flows.Therefore,with the horizontal axis wind turbine as the main focus,in this work,firstly,we conduct CFD simulations of the wind turbine in order to obtain a data-driven basis relating to multiple working conditions for further analysis.Then,these data are studied using an extended Proper Orthogonal Decomposition(POD)algorithm.The quantitative results indicate that the tip vortex in the wake has a complicated spatio-temporal morphological configuration in the higher-order extended POD space.The radial velocity modes obtained are effective and credible,and such reconstructed flow of the tip vortex becomes clearer with the increase of the reconstruction orders.Interestingly,the changes of relatively high-order correlation coefficients are essentially affected by the periodic fusion of tip and central eddies in the wake. 展开更多
关键词 Wind turbine tip vortex extended POD algorithm multi-level flow mode
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Fast Digital Correlation Calculation Method in Extended Beacon Wavefront Detection 认领 引用 被引量：1
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作者 陈珂 赵达尊 《Journal of Beijing Institute of Technology》 EI CAS 2001年第4期342-348,共7页
On the basis of Hartmann Shack sensor imaging analysis, a new method is presented with which the wavefront slope can be obtained when the object is incoherent and extended. This method, which is demonstrated by both t... On the basis of Hartmann Shack sensor imaging analysis, a new method is presented with which the wavefront slope can be obtained when the object is incoherent and extended. This method, which is demonstrated by both theoretical interpreting and computer simulation, explains how to measure the wavefront slope difference between two sub apertures through the determination of image displacements on detector plane. It includes a fast and accurate digital algorithm for detecting wavefront disturbance, which is much suitable for realization in such electrical hardwares as digital signal processors. 展开更多
关键词 adaptive optics extended beacon wavefront detection fast Fourier transform sequential similarity detection algorithm
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一种扩展搜索邻域A*算法的机器人路径规划 认领 引用 被引量：2
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作者 葛超 张嘉滨 +1 位作者 王蕾 赵志伟 《机械设计与制造》 北大核心 2026年第1期339-343,共5页
针对A*算法在复杂环境下计算时间长、拐点过多、转角过大等问题,提出了一种扩展搜索邻域的A*算法。首先,对A*算法的估计函数f(n)进行改进,使启发函数h(n)的权值紧随路径动态变化;然后,提出一种新型24邻域搜索法,使路径的最小... 针对A*算法在复杂环境下计算时间长、拐点过多、转角过大等问题,提出了一种扩展搜索邻域的A*算法。首先,对A*算法的估计函数f(n)进行改进,使启发函数h(n)的权值紧随路径动态变化;然后,提出一种新型24邻域搜索法,使路径的最小转角调整为π20,搜索方向扩展到24个;最后,增加了凹形障碍物检测函数,使路径能规避障碍物陷阱。通过仿真实验表明,机器人使用该算法规划出的路径长度更短,拐点数量下降和转角角度减少,路径更加平滑,有效提高了机器人路径规划性能。 展开更多
关键词 A*算法 路径规划 扩展搜索邻域 机器人 启发函数 障碍物检测
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Extended short-wavelength infrared spectrometer based on a single n-graded-p junction 认领 引用
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作者 JINYU ZHANG HAN WANG +12 位作者 LE QIN JIAXIN YUE FANLONG MENG RENJIE WEN LERAN ZHAO ZHONGSHAN ZHANG YANG JIANG CHUNHUA DU HAIQIANG JIA HONG CHEN WENXIN WANG XIAOLONG CHEN ZHEN DENG 《Photonics Research》 SCIE EI CAS CSCD 2026年第1期49-59,共11页
Ultra-compact spectrometers have attracted significant attention for their potential applications in portable systems for biomedical analysis,environmental monitoring,spectral analysis,and astronomical observation.In ... Ultra-compact spectrometers have attracted significant attention for their potential applications in portable systems for biomedical analysis,environmental monitoring,spectral analysis,and astronomical observation.In this work,we propose a miniaturized InGaAs-based extended short-wave infrared(eSWIR)spectrometer based on a single n-graded-p junction with voltage-tunable optical response characteristics in the range from 1600to 2100 nm.We combine this unique optical characteristic with a regression algorithm to realize the reconstruction of an unknown spectrum.The spectrometer achieves a high responsivity of 0.73 A/W at 1650 nm,and a low dark current density of 3.91×10-5A/cm^2 at 200 K,corresponding to a calculated detectivity of1.69×1011cm·Hz1/2/W.Such spectrometers compatible with standard Ⅲ-Ⅴprocesses can offer a pathway to greatly promote the development of miniaturized spectrometers. 展开更多
关键词 n graded p junction biomedical analysisenvironmental monitoringspectral analysisand regression algorithm t extended short wavelength infrared regression algorithm miniaturized spectrometer detectivity portable systems
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分解与聚类视角下中国省际能源供需双侧节能减排创新模式研究 认领 引用
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作者 王俐英 王雨晴 +2 位作者 苏美淇 曾鸣 林嘉琳 《生态经济》 北大核心 2026年第2期96-107,共12页
“十四五”“十五五”是我国实现碳达峰碳中和的关键时期,我国面临着艰巨的节能减排任务。基于此,论文从能源供需双侧角度,构建基于扩展的Kaya恒等式的分解模型,识别节能减排的主要驱动因素,构建基于K-Medoids法的聚类模型,对我国各地... “十四五”“十五五”是我国实现碳达峰碳中和的关键时期,我国面临着艰巨的节能减排任务。基于此,论文从能源供需双侧角度,构建基于扩展的Kaya恒等式的分解模型,识别节能减排的主要驱动因素,构建基于K-Medoids法的聚类模型,对我国各地区的节能减排特性进行聚类,从而总结出适应各省份的节能减排的模式。结果显示:(1)终端能源强度降低是我国近年节能减排的主要驱动因素,经济规模、终端能源结构、能源加工转换、终端能源强度效应碳排放变化贡献率分别为55.22%、5.61%、-8.43%、-30.74%;(2)从能耗排放规模及增长维度,我国各省份可以分为高总量高增长、高总量低增长、低总量高增长、低总量低增长;(3)我国各省份节能减排模式可以分为终端能源强度降低、经济规模调整、产业结构优化+能源供应效率提高、产业结构优化四种类型。 展开更多
关键词 扩展的Kaya恒等式 驱动因素分解 K-Medoids聚类算法 节能减排模式
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基于去极化电流稀疏分解的抽蓄电机定子绕组绝缘介电响应等效电路参数辨识 认领 引用
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作者 朱光亚 马世宇 +2 位作者 张跃 杨帅 王冰雁 《电工电能新技术》 CSCD 北大核心 2026年第5期72-84,共13页
准确诊断抽水蓄能电机定子绕组的绝缘状态对保证抽水蓄能电机的安全运行至关重要。时域介电响应测试是实现抽水蓄能电机类容性设备绝缘状态快速诊断的有效方法之一。为实现绝缘介质电导及弛豫过程特征参数的精确辨识,进而准确计算表征... 准确诊断抽水蓄能电机定子绕组的绝缘状态对保证抽水蓄能电机的安全运行至关重要。时域介电响应测试是实现抽水蓄能电机类容性设备绝缘状态快速诊断的有效方法之一。为实现绝缘介质电导及弛豫过程特征参数的精确辨识,进而准确计算表征绝缘状态的特征参数,准确诊断抽蓄电机定子绕组主绝缘状态,本文提出一种以去极化电流稀疏分解为基础的定子绕组绝缘介质等效电路参数辨识方法。首先,将测试所得去极化电流分解为各阶物理模态,为各阶模态建立相应的振幅系数后利用贪婪算法计算不同模态的最优振幅系数,将代表主绝缘弛豫特性的主导模态与代表噪声干扰的虚假模态进行分离,基于主导模态求解介电响应等效电路参数,从而实现对弛豫特征参数的精确辨识。最后,通过仿真验证了方法的准确性,结合实验室测试验证了方法的有效性。 展开更多
关键词 极化/去极化电流 拓展Debye模型 动态模态分解 贪婪算法 抽水蓄能电机 定子绕组绝缘
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基于TD3算法的改进LADRC风电机组变桨控制研究 认领 引用
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作者 岳有军 樊鹏博 赵辉 《现代电子技术》 北大核心 2026年第6期102-111,共10页
针对风力发电系统中因波动风速和复杂风况导致的传统变桨控制参数难以动态整定、输出功率波动大等问题,提出一种基于改进误差补偿的TD3-LADRC控制策略。该策略通过分析线性扩展状态观测器(LESO)的估计误差,并引入控制增益改进自抗扰控制... 针对风力发电系统中因波动风速和复杂风况导致的传统变桨控制参数难以动态整定、输出功率波动大等问题,提出一种基于改进误差补偿的TD3-LADRC控制策略。该策略通过分析线性扩展状态观测器(LESO)的估计误差,并引入控制增益改进自抗扰控制律,增强了风机系统的抗扰性。同时,采用双延迟深度确定性策略梯度(TD3)深度强化学习算法,对改进后的线性自抗扰控制(LADRC)观测器带宽和控制器带宽等关键参数进行动态优化,有效提升了风电机组的输出稳定性。通过Matlab/Simulink对2 MW风电机组进行建模,仿真结果表明,所提控制策略在阶跃风况和湍流风况下均能显著降低风机输出功率波动,验证了其有效性。 展开更多
关键词 风机系统 变桨距控制 TD3算法 误差补偿 线性自抗扰控制 线性扩展状态观测器
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Short-term Wind Power Forecasting Using Interval A2-C1 Type-2 TSK FLS Method with Extended Kalman Filter Algorithm 认领 引用
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作者 Jun Li Mingdi Miao 《Chinese Journal of Electrical Engineering》 EI CSCD 2025年第3期191-215,共25页
For short-term wind power forecasting,an interval A2-C1 type-2(IT2)Takagi-Sugeno-Kang(TSK)fuzzy logic system(FLS)method(“A”means antecedent and“C”consequent)based on an extended Kalman filter(EKF)optimization algo... For short-term wind power forecasting,an interval A2-C1 type-2(IT2)Takagi-Sugeno-Kang(TSK)fuzzy logic system(FLS)method(“A”means antecedent and“C”consequent)based on an extended Kalman filter(EKF)optimization algorithm is proposed.Compared with the type-1(T1)FLS model,the IT2 TSK FLS method can simultaneously model both intra-and inter-individual uncertainty and further optimize the antecedent and consequent parameters using the EKF to improve forecasting performance further.The proposed IT2 A2-C1 FLS method is applied to Mackey-Glass chaotic time series and wind power forecasting instances in a certain region,under the same conditions.It is also compared with the T1 TSK FLS and IT2 TSK FLS methods with back propagation(BP)and particle swarm optimization(PSO)algorithms,as well as IT2 A2-C0 TSK FLS methods with EKF.The experimental results confirm that the proposed IT2 A2-C1 FLS method is superior to the other FLS methods regarding performance,which demonstrates its effectiveness and application potential. 展开更多
关键词 Wind power forecasting interval type-2 TSK fuzzy logic system extended Kalman filter(EKF)algorithm A2-C1
面向地下排水管网的轮式机器人自适应卡尔曼滤波定位算法 认领 引用 被引量：2
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作者 朱瑾玉 孙少欣 +1 位作者 胡安森 苏晓杰 《机器人》 EI CSCD 北大核心 2026年第1期25-37,共13页
为了提高管道机器人在直径400~600 mm地下管网中的定位精度,融合低成本轮式编码器、光流传感器和六轴惯性测量单元的数据,实现了机器人在缺失全局信息情况下的定位功能,推算出较为精确的机器人行走轨迹。首先,针对管道环境中常出现的轮... 为了提高管道机器人在直径400~600 mm地下管网中的定位精度,融合低成本轮式编码器、光流传感器和六轴惯性测量单元的数据,实现了机器人在缺失全局信息情况下的定位功能,推算出较为精确的机器人行走轨迹。首先,针对管道环境中常出现的轮式机器人打滑问题,加入异常值检测机制,设置异常值判断阈值,对轮式编码器的数据进行修正;其次,引入了田口算法来辅助完成卡尔曼滤波过程噪声协方差矩阵的参数调整,效率是试错法的5倍;另外,针对测量噪声协方差矩阵的调整问题,引入残差、遗忘因子和参数阈值来自适应调整矩阵参数;最后,通过实机平台开展实验,结果表明,改进后的算法能抑制纵滑带来的误差,定位精度是基于扩展卡尔曼滤波的定位算法的3.26倍。 展开更多
关键词 管道机器人 多传感器融合定位 自适应扩展卡尔曼滤波 滑动检测 田口算法 遗忘因子
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