Grid-forming converters are increasingly deployed in ac power systems due to their voltage formation, supportive services, and improved stability in weak grids. Despite the importance of grid-forming and popularity of...
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Accurate state of charge (SOC) estimation of batteries helps order reasonable and efficient instruction on the battery management system. With the sharp development of artificial intelligence, data-driven based method...
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This paper addresses challenges in power system operations such as high carbon emissions and low efficiency, proposing an environmentally friendly microgrid (ECO-MG) energy management strategy based on deep reinforcem...
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Accurate residual capacity (RC) estimation of batteries is crucial for safe operation of electric vehicles. However, current estimation method has poor generalization ability and low accuracy, which restricts the prom...
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We use a mean-field game (MFG) formulation to investigate a family of portfolio management problems with relative performance in a partially observable financial market. The stock price process is characterized by a f...
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Quadruped robots, due to their superior flexibility and accessibility, have attracted considerable interest and are progressively being incorporated into real-world manufacturing processes. Given the vertical motion c...
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This article pioneers the application of a mathematical tool - quaternion theory - to investigate electrical systems and circuit problems. By use of quaternions and biquaternions, this article generalizes the concepts...
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Estimating the state of charge (SOC) and state of health (SOH) is essential for preserving the condition and improving the performance of Li-ion batteries. However, the inconsistencies between batteries and the divers...
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This paper introduces an enhancement in grid-tied converter technology by incorporating a Model Predictive control (MPC)-based space vector pulse width modulation (SVPWM) along with an advanced LLCL filter. This appro...
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The forms of tasks in intelligent manufacturing are diverse, and their operating environment is also dynamically changing. Effective knowledge representation and reasoning are key foundations for enhancing robots'...
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