Suchergebnisse - energy‐based predictive algorithm

Energy‐based predictive algorithm for semi‐active tuned mass dampers von Zelleke, Daniel H., Matsagar, Vasant A.

“… In this paper, a novel energy‐based predictive (EBP) algorithm is proposed, and its effectiveness is studied when applied to semi …”
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Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers von Zelleke, Daniel H., Matsagar, Vasant A.

“… This intuitive strategy is proposed to realize improved control of structural vibrations. The numerical study conducted reveals that the proposed energy‐based predictive (EBP …”
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Optimal flexible power allocation energy management strategy for hybrid energy storage system with genetic algorithm based model predictive control von Ma, Bin, Li, Peng-Hui

“… ) for hybrid energy storage systems (HESS) in electric vehicles (EVs). The main advantage of the proposed EMS is its use of a genetic algorithm-based model predictive control (GA-MPC …”
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Impact of Incorporating Disturbance Prediction on the Performance of Energy Management Systems in Micro-Grid von Gbadega, Peter Anuoluwapo, Saha, Akshay Kumar

“… The design and implementation of appropriate advanced control strategies is a key factor for the effective integration of micro-grids into the electrical …”
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Energy-Aware Hierarchical Reinforcement Learning Based on the Predictive Energy Consumption Algorithm for Search and Rescue Aerial Robots in Unknown Environments von Ramezani, M., Amiri Atashgah, M. A.

“… ’ operation becomes essential. This paper introduces a novel hierarchical reinforcement learning-based algorithm to address the critical limitation of the aerial robot’s battery life …”
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Enhancing the Performance of Hybrid Grid Connected System with Bi-Directional Energy Management using FPGA Based Predictive Energy Optimization Algorithm with Data Monitoring von Jayanthi, S., Vijayakumar, V., Prasanth, P.

“… The proposed FPGA based Predictive Energy Optimization Algorithm (PEOA) technique is used to give the proper switching pulse to the converter is minimize the fault and increase the stability of this grid connected hybrid system …”
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Experimental Investigation on Energy‐Based Semi‐Active Response Control Strategy for Base‐Isolated Structures von Zelleke, Daniel H., Matsagar, Vasant A.

“… ‐Wen model is used to represent the behavior numerically. The energy‐based predictive (EBP) algorithm is used as a control law to dictate/modulate the control action effected by the MR damper …”
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Predictive energy management for a plug-in hybrid electric vehicle using driving profile segmentation and energy-based analytical SoC planning von Zhou, Wei, Chen, Yaoqi, Zhai, Haoran, Zhang, Weigang

“… This paper presents a new approach to generating reference SoC trajectories for predictive energy management control of plug-in hybrid electric vehicles …”
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Flow battery energy storage system for microgrid peak shaving based on predictive control algorithm von Ouyang, Tiancheng, Zhang, Mingliang, Qin, Peijia, Tan, Xianlin

“… units to provide stable electricity. A predictive control method is presented to improve the efficiency of flow battery and the economic feasibility of this system is evaluated …”
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A Model Predictive Control for Renewable Energy Based AC Microgrids Without Any PID Regulators von Yinghao Shan, Jiefeng Hu, Zilin Li, Guerrero, Josep M.

“… This letter presents a novel model predictive control strategy without involving any proportional-integral-differential regulators for practical renewable energy based ac microgrids …”
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Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures von Hameed, Mohammed Majeed, Masood, Adil, Srivastava, Aman, Abd Rahman, Norinah, Mohd Razali, Siti Fatin, Salem, Ali, Elbeltagi, Ahmed

“… This study introduces a novel predictive model that combines Extreme Learning Machine (ELM) with Dingo Optimization Algorithm …”
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Using experimental data to test an n -body dynamical model coupled with an energy-based clusterization algorithm at low incident energies von Kumar, Rohit, Puri, Rajeev K.

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Engine Energy Management Based on Nash Optimal Distributed Model Predictive Control von XIAO Lingfei, TAN Yushuo, LIU Peisong, HU Junyuan

“… ， a more electric aircraft engine energy management algorithm based on Nash optimal distributed model predictive control is proposed. Initially …”
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Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field von Szczepanski, Rafal, Tarczewski, Tomasz, Erwinski, Krystian

“… To provide collision-free operation in unknown or various environment, the local path planning algorithm should be considered …”
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Neural network-based soil parameters predictive coordination algorithm for energy efficient wireless sensor network von Sharma, Dinesh, Tomar, Geetam Singh

“… Consequently, predictive neural network techniques …”
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Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models von Bond-Taylor, Sam, Leach, Adam, Long, Yang, Willcocks, Chris G.

“… In particular, this compendium covers energy-based models, variational autoencoders, generative adversarial networks, autoregressive models, normalizing flows, in addition to numerous hybrid approaches …”
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Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm von Li, Xunming, Han, Lijin, Liu, Hui, Wang, Weida, Xiang, Changle

“… ) based on an explicit model predictive control (EMPC) method is proposed in this paper …”
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Integrating Demand Response Technique with Effective Control Algorithm for Energy Management System in a Renewable Energy Based-Micro-grid von Gbadega, Peter Anuoluwapo, Sun, Yanxia, Akindeji, Kayode Timothy

“… Therefore, this paper investigates the demand response technique for the energy management system in a micro-grid based on adaptive model predictive control (AMPC …”
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Shannon’s Energy Based Algorithm in ECG Signal Processing von Beyramienanlou, Hamed, Lotfivand, Nasser

“… At first, this algorithm computes the Shannon energy (SE) and then makes an envelope of Shannon energy (SE …”
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Research on model predictive control strategy of hybrid electric aircraft von MAN Yi

“… ，the power demand cannot be satisfied by fuel cell alone. It is necessary to add energy storage elements such as lithium battery or super capacitor as its auxiliary power supply. Therefore …”
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