The paper delves into techniques to enhance energy management efficiency within microgrid systems, focusing on the Smart Grid context. With the progress in the global transition towards smarter and more sustainable el...
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The marine searchlight turntable system can be widely used in ship night navigation, personnel rescue and search, and long-distance light signal communication. This paper deeply studies the composition architecture of...
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In this research, we proposed a novel finite-time model reference adaptive control (FT-MRAC) strategy for the consensus control of heterogeneous multi-agent systems (MAS) under the influence of disturbance in a finite...
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In distribution systems, voltage drop issues often occur due to changes in operational conditions such as equipment maintenance, alterations in operating modes, and increased loads. Traditional control methods for Ste...
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The work addresses PID control design based on the velocity-pausing particle swarm optimization (VPPSO) technique. The suggested control design is utilized to develop a load frequency control (LFC) approach for an iso...
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The traditional centralized control method hardly meets the coordination control demand for multi-microgrid (MMG), due to the conflict between the individual interests of a single microgrid (MG) and the global interes...
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The traditional centralized control method hardly meets the coordination control demand for multi-microgrid (MMG), due to the conflict between the individual interests of a single microgrid (MG) and the global interests of MMG. In this study, a distributed coordination control method that integrates potential game (PG) and reinforcement learning (RL) is proposed to achieve balance of interests of an MMG. The proposed method fully exploits the distributed characteristic of the PG by considering each MG as an agent. It also establishes a PG-based distributed coordination control structure to maximize and balance the economy of single MG and overall MMG. Then, it combines the PG with the RL algorithm by the parameter transfer to obtain the optimal Nash equilibrium (NE) solution and improve the optimization performance based on Q-learning algorithm. Eventually, a simulation model is performed in MATLAB to demonstrate the effectiveness and superiority of the proposed control method.
High power-density marine diesel engines are widely used in ships, and the combustion optimization is of great importance. However, to achieve an optimized combustion process, current control method is based on existi...
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The proceedings contain 142 papers. The topics discussed include: DeepLabV3-SAM: a novel image segmentation method for rail transportation;review on digital signal modulation methods and recognition performance charac...
ISBN:
(纸本)9798350359961
The proceedings contain 142 papers. The topics discussed include: DeepLabV3-SAM: a novel image segmentation method for rail transportation;review on digital signal modulation methods and recognition performance characteristics in embedded systems;dynamic point convolution-based point cloud completion network;apple target detection task in complex scenes based on Yolov5 method;adaptive backward-link resource allocation in beam hopping communication system;dynamic frequency resource allocation method based on multi-beam directional ad-hoc network;small object detection algorithm for aerial photography based on improved YOLOv5;low-light image object detection algorithm based on YOLOX;research on frequency division MIMO radar imaging system;a long-term traffic flow prediction model based on multiple features;and a collaborative control model for shop-floor material handling system based on artificial intelligence.
This paper addresses heading keeping control problem for unmanned surface vessels with command filtering and full state constraints (FSC). A adaptive control strategy is proposed using a command filtering control (CFC...
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For solving such problem as difficult identification of fault of distribution line and improving the safety of reclosing operation of distribution line, the principle of fault character identification of distribution ...
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