Results 241 to 250 of about 5,366,983 (311)
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ISA transactions, 2021
In this paper, an improved speed adaptive flux sliding-mode observer (FSMO) is presented for the sensorless control of surface-mounted permanent magnet synchronous motor (PMSM) drives.
Guoqiang Wang, Huilin Zhang
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In this paper, an improved speed adaptive flux sliding-mode observer (FSMO) is presented for the sensorless control of surface-mounted permanent magnet synchronous motor (PMSM) drives.
Guoqiang Wang, Huilin Zhang
semanticscholar +1 more source
Journal of Energy Storage, 2021
State-of-charge (SOC) balancing is a critical issue for the development of battery management systems for electric vehicles. In the series of two papers, an adaptive estimation-based hierarchical model predictive control (MPC) balancing methodology is ...
Ya-Xiong Wang +3 more
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State-of-charge (SOC) balancing is a critical issue for the development of battery management systems for electric vehicles. In the series of two papers, an adaptive estimation-based hierarchical model predictive control (MPC) balancing methodology is ...
Ya-Xiong Wang +3 more
semanticscholar +1 more source
Adaptive Optimal Parameter Estimation and Control of Servo Mechanisms: Theory and Experiments
IEEE Transactions on Industrial Electronics, 2021 Most of classical adaptive laws used in adaptive control have been developed based on the gradient descent algorithm to minimize the control error.
Shubo Wang, Jing Na, Yashan Xing
exaly +2 more sources
IEEE/ASME transactions on mechatronics, 2023
As an indispensable energy device, 18650 lithium-ion battery has widespread applications in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for the normal operation of electric vehicles.
Jiusi Zhang +5 more
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As an indispensable energy device, 18650 lithium-ion battery has widespread applications in electric vehicles. Remaining useful life (RUL) prediction of lithium-ion battery is critical for the normal operation of electric vehicles.
Jiusi Zhang +5 more
semanticscholar +1 more source
IEEE Transactions on Cybernetics, 2020
Multimodal optimization problems (MMOPs) require algorithms to locate multiple optima simultaneously. When using evolutionary algorithms (EAs) to deal with MMOPs, an intuitive idea is to divide the population into several small “niches,” where different ...
Zijia Wang, Yuren Zhou, Jun Zhang
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Multimodal optimization problems (MMOPs) require algorithms to locate multiple optima simultaneously. When using evolutionary algorithms (EAs) to deal with MMOPs, an intuitive idea is to divide the population into several small “niches,” where different ...
Zijia Wang, Yuren Zhou, Jun Zhang
semanticscholar +1 more source
Multiplayer Obstacle Avoidance Pursuit-Evasion Games With Adaptive Parameter Estimation
IEEE transactions on industrial electronics (1982. Print), 2023This article investigates a class of multiplayer obstacle avoidance pursuit-evasion games with intracoalition cooperation and intercoalition confrontation.
Lei Cheng, Yuan Yuan
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Adaptive estimation and sparse sampling for graph signals in alpha-stable noise
Digit. Signal Process., 2020In the graph signal processing literature, most methods were developed based on the assumption of Gaussian noise since it can lead to computationally efficient and mathematically tractable solutions.
Ngoc Hung Nguyen +2 more
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SIMPLIFIED ADAPTIVE ESTIMATION
IFAC Proceedings Volumes, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Isaac Yaesh, Uri Shaked
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IFAC Proceedings Volumes, 1990
Abstract An adaptive algorithm for estimating the input to a linear system is presented. This explicite self-tuning filter is based on the identification of an innovations model. From that model, input and measurement noise descriptions are decomposed. Identifiability results guarantee a unique decomposition.
A. Ahlén, M. Sternad
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Abstract An adaptive algorithm for estimating the input to a linear system is presented. This explicite self-tuning filter is based on the identification of an innovations model. From that model, input and measurement noise descriptions are decomposed. Identifiability results guarantee a unique decomposition.
A. Ahlén, M. Sternad
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IEEE Transactions on Vehicular Technology, 2021
With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always crucial to develop a highly accurate and low-cost state estimation method for the battery management system (BMS).
P. Shrivastava +4 more
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With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always crucial to develop a highly accurate and low-cost state estimation method for the battery management system (BMS).
P. Shrivastava +4 more
semanticscholar +1 more source