Výsledky vyhledávání - "twin-delayed deep deterministic policy gradient algorithm"

Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm Autor Shi, Qian, Lam, Hak-Keung, Xuan, Chengbin, Chen, Ming

“…This paper presents an adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient (TD3) algorithm for nonlinear systems. In…”
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Twin-delayed deep deterministic policy gradient algorithm for the energy management of microgrids Autor Domínguez-Barbero, David, García-González, Javier, Sanz-Bobi, Miguel Á.

“…The microgrid market is growing significantly due to several drivers, such as the need to lower greenhouse gas emissions by integrating higher shares of…”
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A novel data-driven energy management strategy for fuel cell hybrid electric bus based on improved twin delayed deep deterministic policy gradient algorithm Autor Huang, Ruchen, He, Hongwen

“…With the prosperity of artificial intelligence in recent years, energy management strategies (EMSs) based on deep reinforcement learning (DRL) have become the…”
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Electromagnetic-Model-Driven Twin Delayed Deep Deterministic Policy Gradient Algorithm for Stealthy Conformal Array Antenna Autor Zhang, Binchao, Jin, Cheng, Tian, Buning, Cao, Kaiqi, Wang, Junwei, Zhang, Pengyu

“…Conformal array antennas (CAAs) can effectively broaden the beam scanning range and improve radiation flexibility. Unfortunately, confirmation will increase…”
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UAV maneuvering decision -making algorithm based on Twin Delayed Deep Deterministic Policy Gradient Algorithm Autor Bai, Shuangxia, Song, Shaomei, Liang, Shiyang, Wang, Jianmei, Li, Bo, Neretin, Evgeny

“…Aiming at intelligent decision-making of UAV based on situation information in air combat, a novel maneuvering decision method based on deep reinforcement…”
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Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning Autor Zhou, Yatong, Kong, Xiaoran, Lin, Kuo-Ping, Liu, Liangyu

“…•This study develops a novel TD-MATD3 model to improve convergence efficiency.•A novel reward function is also designed to facilitate the convergence of the…”
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The application of machine learning based energy management strategy in multi-mode plug-in hybrid electric vehicle, part I: Twin Delayed Deep Deterministic Policy Gradient algorithm design for hybrid mode Autor Wu, Changcheng, Ruan, Jiageng, Cui, Hanghang, Zhang, Bin, Li, Tongyang, Zhang, Kaixuan

“…As the performance of Energy Management Strategy (EMS) is crucial for the energy efficiency of Hybrid Electric Vehicles (HEVs), a Deep Reinforcement Learning…”
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Study on indoor temperature optimal control of air-conditioning based on Twin Delayed Deep Deterministic policy gradient algorithm Autor Li, Wei, Wu, Hongji, Zhao, Yifan, Jiang, Changwei, Zhang, Jili

“…The optimization of HVAC system control affects the thermal comfort of building environment and air-conditioning energy consumption. However, most existing…”
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Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm Autor Ma, Haining, Zhang, Huifeng, Tian, Ding, Yue, Dong, Hancke, Gerhard P.

“…The intermittent integration of renewable energy sources and the enhancement of energy-saving awareness on the demand side have posed significant challenges to…”
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Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm Autor Jiang, Yuzheng, Dong, Jun, Huang, Hexiang

“…In recent years, distributed energy resources (DERs) have developed greatly, and the total capacity of resources aggregated by virtual power plants (VPPs) has…”
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Real-Time Optimal Power Flow Using Twin Delayed Deep Deterministic Policy Gradient Algorithm Autor Woo, Jong Ha, Wu, Lei, Park, Jong-Bae, Roh, Jae Hyung

“…The general concept of AC Optimal Power Flow (ACOPF) refers to the economic dispatch planning under electric network constraints. Moreover, each instance with…”
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Twin Delayed Deep Deterministic Policy Gradient Algorithm for a Heterogeneous Multifactory Remanufacturing Optimization Problem Autor Qi, Liang, Zeng, Qiqi, Liu, Shixin, Wang, Jiacun, Qin, Shujin, Guo, Xiwang

“…To reduce resource consumption and environmental impact, the manufacturing industry increasingly leans towards repurposing, repairing, or updating products. In…”
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Posture stability control of a beaver-like bipedal robot based on the deep interactive twin delayed deep deterministic policy gradient algorithm Autor Chen, Gang, Xue, Hanhan, Zhao, Zhihan, Lu, Yuwang, Cao, Guangke, Yang, Chenguang, Hu, Huosheng, Wu, Chuanyu, Zeng, Jinfeng, Weng, Lichun, Yang, Pingyu

“…The underwater environment presents a complex and variable dynamic that challenges the modeling process and is crucial for ensuring the swimming stability of…”
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Research on the Motion Control Strategy of a Lower-Limb Exoskeleton Rehabilitation Robot Using the Twin Delayed Deep Deterministic Policy Gradient Algorithm Autor Guo, Yifeng, He, Min, Tong, Xubin, Zhang, Min, Huang, Limin

“…The motion control system of a lower-limb exoskeleton rehabilitation robot (LLERR) is designed to assist patients in lower-limb rehabilitation exercises. This…”
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Twin-Delayed Deep Deterministic Policy Gradient Algorithm to Control a Boost Converter in a DC Microgrid Autor Muktiadji, Rifqi Firmansyah, Ramli, Makbul A. M., Milyani, Ahmad H.

“…A stable output voltage of a boost converter is vital for the appropriate functioning of connected devices and loads in a DC microgrid. Variations in load…”
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MP-TD3: Multi-Pool Prioritized Experience Replay-Based Asynchronous Twin Delayed Deep Deterministic Policy Gradient Algorithm Autor Tan, Wenwen, Huang, Detian

“… excellent experiences obtained by other agents interacting with the environment. To address the above issue, we propose a Multi-pool Prioritized experience replay-based asynchronous Twin Delayed Deep Deterministic policy gradient algorithm (MP-TD3…”
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An intelligent MIMO run-to-run controller for semiconductor manufacturing processes based on an enhanced twin-delayed deep deterministic policy gradient algorithm: An intelligent MIMO run-to-run controller for semiconductor manufacturing Autor Ma, Zhu, Chen, Yonglin, Pan, Tianhong

“…Achieving accurate target tracking in semiconductor manufacturing processes with complex nonlinearities, strong coupling, and uncertain disturbance…”
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Adaptive Deep Ant Colony Optimization–Asymmetric Strategy Network Twin Delayed Deep Deterministic Policy Gradient Algorithm: Path Planning for Mobile Robots in Dynamic Environments Autor Li, Xiangcheng, Ruan, Zhaokai, Ou, Yang, Ban, Dongri, Sun, Youming, Qin, Tuanfa, Cai, Yiyi

“…Path planning is one of the main focal points and challenges in mobile robotics research. Traditional ant colony optimization (ACO) algorithms encounter issues…”
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An intelligent MIMO run-to-run controller for semiconductor manufacturing processes based on an enhanced twin-delayed deep deterministic policy gradient algorithm Autor Ma, Zhu, Chen, Yonglin, Pan, Tianhong

“…Achieving accurate target tracking in semiconductor manufacturing processes with complex nonlinearities, strong coupling, and uncertain disturbance…”
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Brain-inspired automatic generation control: A progressive brain-inspired twin delayed deep deterministic policy gradient algorithm Autor Liu, Dan, Huang, Haochao, Xi, Lei

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