Search Results - "Aimin An"

Identification of market power abuse in Chinese electricity market based on an improved cost-sensitive support vector machine by Wang, Wenting, An, Aimin

“…•Combination of index system and improved SVM realizes identifying violations.•The KNBN and DBTC methods improve the efficiency of dynamic recognition.•The…”
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Implicit Generalized Predictive Control-Based Fractional-Order PID Strategy for BTTGU Regulation System by Wen, Yongan, Wang, Rongxin, An, Aimin

“…The superior stability and rapidity of the speed output of the bulb tubular turbine generator unit (BTTGU) plays an important role for safe operation of water…”
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Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules by Zhao, Yingying, An, Aimin, Xu, Yifan, Wang, Qianqian, Wang, Minmin

“…Because of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control…”
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Deeplab-YOLO: a method for detecting hot-spot defects in infrared image PV panels by combining segmentation and detection by Lei, Ye, Wang, Xiaoye, An, Aimin, Guan, Haijiao

“…Aiming at the problem of difficult operation and maintenance of PV power plants in complex backgrounds and combined with image processing technology, a method…”
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Economic Model Predictive Control for Post-Combustion CO2 Capture System Based on MEA by Ma, Chenbin, Zhang, Wenzhao, Zheng, Yu, An, Aimin

“…For the post-combustion CO2 capture (PCC) system, the time variability of the economic performance is key to the production process of such an actual…”
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An improved multi innovation adaptive robust dual kalman filter algorithm for estimating battery state by Guan, Zhe, Yang, Fa Zhi, Yu, Tao hua, An, Aimin

“…In response to the inaccurate estimation of State of Charge (SOC) in current power battery management systems, and considering that SOC may be subject to…”
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Distributed model predictive control based on adaptive sampling mechanism by Wang, Zhen, An, Aimin, Li, Qianrong

“…Fig. 1 DMPC structure based on adaptive sampling mechanism. In the DMPC based on the adaptive sampling mechanism proposed in this paper, an anomaly detector…”
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Adaptive neural tracking control for upper limb rehabilitation robot with output constraints by Zhang, Zibin, Cui, Pengbo, An, Aimin

“…The authors investigate the trajectory tracking control problem of an upper limb rehabilitation robot system with unknown dynamics. To address the system's…”
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Study on the Influence of Parallel Fuzzy PID Control on the Regulating System of a Bulb Tubular Turbine Generator Unit by Wang, Rongxin, An, Aimin, Wen, Yongan, Song, Houbin

“…This article presents a parallel fuzzy PID control strategy on a bulb tubular turbine generator unit for improving the robust control performance. First, the…”
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Robust model predictive tracking control for the wheeled mobile robot with boundary uncertain based on linear matrix inequalities by Gao, Xing, Su, Xin, An, Aimin, Zhang, Haochen

“…In this study, a robust model predictive controller is designed for the trajectory tracking problem of non‐holonomic constrained wheeled mobile robot based on…”
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MMC-MTDC Secondary Compensation Droop Control Strategy for Large-Scale New Energy Grid Connection by Chen, Tongchuan, Zhao, Yingying, Wang, Qianqian, Wang, Wenting, An, Aimin

“…The transmission system controlled by traditional droop control has some defects, such as DC voltage deviation, slow dynamic response, fixed droop coefficient…”
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Dynamic parameter identification of upper‐limb rehabilitation robot system based on variable parameter particle swarm optimisation by Wang, Jin Lei, Li, Yafeng, An, Aimin

“…To solve the problem of uncertain parameters in dynamic modelling of upper‐limb rehabilitation robots, a dynamic parameter identification method based on…”
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Control of upper limb rehabilitation robot based on active disturbance rejection control by Li, Junchen, Zhang, Wenzhao, Zheng, Yu, An, Aimin, Pan, Wenda

“…The upper limb rehabilitation robot technology integrates rehabilitation medicine, human anatomy, mechanics, computer science, robotics, and many other…”
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Kinetics of Impurity Removal in Zinc Hydrometallurgy Based on Parameter Estimation by Wang, Qianqian, Tang, Minan, An, Aimin, Lu, Jiawei, Zhao, Yingying

“…Impurity removal is a momentous part of zinc hydrometallurgy process. In this paper, a hybrid modeling method of mechanism modeling and parameter estimation…”
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On $$\varepsilon $$-phase-isometries between the positive cones of continuous function spaces by Wang, Wenting, An, Aimin

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A hierarchical scheduled optimization and control for minimizing production cost and energy consumption of CSTR by An, Aimin, Li, Shaoyong, Zhang, Dengfeng, Zhao, Chao, Zhang, Haochen

“…For traditional chemical process industry, the main aims of production in most processes are to promote quality of productivity and to maximizing economic…”
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The parameters-test of photovoltaic effect and the performance analysis of PV power system by Aimin An, Liwen Chen, Haocheng Zhang, Bing Lv, Xichao Zhou

“…A much nonlinear and sensitive photovoltaic array system , which is used in a hybrid electric generation system is depicted in this paper. The purpose of the…”
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Kinetic model parameter estimation by hybrid differential evolution algorithm by Zhao Chao, Xu Qiaoling, An Aimin, Li Xuelai

“…The determination of the optimal model parameters for kinetic systems is a time consuming, iterative process [1]. In this paper, we presented a novel hybrid…”
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AN EXTRACTION ALGORITHM FOR A SET OF ELEMENTARY SIPHONS BASED ON MIXED-INTEGER PROGRAMMING by Li, Shaoyong, Li, Zhiwu, Hu, Hesuan, Al-Ahmari, Abdulrahman, An, Aimin

“…Elementary siphons are useful in the development of a deadlock prevention policy for a discrete event system modeled with Petri nets. This paper proposes an…”
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Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model: EEG signal processing by Shang, Yong, Gao, Xing, An, Aimin

“…Electroencephalogram (EEG) is a non-stationary random signal with strong background noise, which makes its feature extraction difficult and recognition rate…”
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