Search Results - "approximate dynamic programming‐based"

Sensitivity Analysis and Approximate Dynamic Programming based Voltage Control Strategy for Three-Level Coordination of 'Substation'-'Feeder'-'Distribution Unit-Area'

Authors: Limei Zhou Xiaoli Meng Shuaitao Bai et al.

Source: 2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET). :1106-1112

Approximate dynamic programming-based thresholds for cargo capacity management considering postponements

Authors: Dhandabani Srinivasan R.K. Amit Atul Kumar Malik et al.

Source: Omega. 138:103416

Adaptive network traffic control with approximate dynamic programming based on a non-homogeneous Poisson demand model

Authors: Siqi Chen Xing Lü

Source: Transportmetrica B: Transport Dynamics. 12

Approximate Dynamic Programming Based Interceptor Fire Control and Effectiveness Analysis for M-To-M Engagement

Authors: Changseok Lee Ju-Hyun Kim Bong-Wan Choi et al.

Source: Journal of the Korean Society for Aeronautical & Space Sciences. 50:287-295

Subject Terms: 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Approximate Dynamic Programming based Model Predictive Control of Nonlinear systems

Authors: Chacko, Keerthi Augustine, Midhun T. Janardhanan, S. et al.

Index Terms: Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2312.05952

Approximate dynamic programming‐based decentralised robust optimisation approach for multi‐area economic dispatch considering wind power uncertainty

Authors: Jianquan Zhu Chenxi Wang Ye Guo et al.

Source: IET Renewable Power Generation. 14:2376-2385

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-rpg.2019.0794
https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0794
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2019.0794
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2019.0794

Experimental Validation of Approximate Dynamic Programming Based optimization and Convergence on Microgrid Applications

Authors: Avijit Das Di Wu Xiangnan Zhong et al.

Source: 2020 IEEE Power & Energy Society General Meeting (PESGM). :1-5

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://xplorestaging.ieee.org/ielx7/9281379/9281392/09281629.pdf?arnumber=9281629
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9281629

Real‐time stochastic operation strategy of a microgrid using approximate dynamic programming‐based spatiotemporal decomposition approach

Authors: Jianquan Zhu Xiemin Mo Tao Zhu et al.

Source: IET Renewable Power Generation. 13:3061-3070

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2019.0536
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.0536
https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0536
https://ieeexplore.ieee.org/document/8932713

A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy

Authors: Cervellera C Macciò D

Source: IEEE Transactions on Cybernetics 47 (2017): 3355–3366. doi:10.1109/TCYB.2017.2660533
info:cnr-pdr/source/autori:Cervellera C.; Macciò D./titolo:A Novel Approach for Sampling in Approximate Dynamic Programming Based on F-Discrepancy/doi:10.1109%2FTCYB.2017.2660533/rivista:IEEE Transactions on Cybernetics/anno:2017/pagina_da:3355/pagina_a:3366/intervallo_pagine:3355–3366/volume:47

Subject Terms: F -discrepancy, state sampling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, approximate dynamic programming, Markovian decision problem, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/28186920
https://europepmc.org/article/MED/28186920
https://ieeexplore.ieee.org/abstract/document/7845579
https://www.ncbi.nlm.nih.gov/pubmed/28186920
http://ieeexplore.ieee.org/document/7845579/
https://dblp.uni-trier.de/db/journals/tcyb/tcyb47.html#CervelleraM17a
https://hdl.handle.net/20.500.14243/326458
https://ieeexplore.ieee.org/document/7845579
https://doi.org/10.1109/TCYB.2017.2660533

Three bounded proofs for nonlinear multi‐input multi‐output approximate dynamic programming based on theLyapunov stability theory

Authors: Yuli Chen Xuemei Xiong Wentao Chen et al.

Source: Optimal Control Applications and Methods. 39:35-50

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://onlinelibrary.wiley.com/doi/full/10.1002/oca.2332
https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2332

Design of an Approximate Dynamic Programming based neural controller for Smart Home Energy Management

Authors: Reihaneh Kardehi Moghaddam Shima Rashidi Dasht-e-Bayaz Rajab Asgharian

Source: Communications on Advanced Computational Science with Applications. 2017:56-69

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: http://www.ispacs.com/journals/cacsa/2017/cacsa-00076/references/
http://ispacs.com/journals/cacsa/2017/cacsa-00076/article.pdf

Approximate dynamic programming-based control of a building cooling system with thermal storage

Authors: F. Borghesan VIGNALI, RICCARDO MARIA PIRODDI, LUIGI et al.

Source: IEEE PES ISGT Europe 2013. :1-5

Subject Terms: 0209 industrial biotechnology, AUT, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/document/6695463/
https://dblp.uni-trier.de/db/conf/isgteurope/isgteurope2013.html#BorghesanVPPS13
https://hdl.handle.net/11311/762726

Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability

Authors: Wentao Guo Shengwei Mei Ronald G. Harley et al.

Source: Neurocomputing. 170:417-427

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Approximate dynamic programming based controller design for interconnected AGC scheme

Authors: Vishal Kumar Barjeev Tyagi Nagendra Kumar

Source: TENCON 2015 - 2015 IEEE Region 10 Conference. :1-6

Subject Terms: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: http://ieeexplore.ieee.org/document/7372872/
https://ieeexplore.ieee.org/document/7372872/

Bounds for approximate dynamic programming based on string optimization and curvature

Authors: Ali Pezeshki Yajing Liu Bill Moran et al.

Source: 53rd IEEE Conference on Decision and Control. :6653-6658

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/cdc/cdc2014.html#LiuCPM14

Approximate Dynamic Programming Based Data Center Resource Dynamic Scheduling for Energy Optimization

Authors: Shuo Chen Xue Li Lanshun Nie

Source: 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom). :494-501

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://dblp.uni-trier.de/db/conf/ithings/ithings2014.html#LiNC14
https://ieeexplore.ieee.org/document/7059713/
http://doi.ieeecomputersociety.org/10.1109/iThings.2014.87

Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration

Authors: Feng Liu Wentao Guo Ronald G. Harley et al.

Source: 2014 IEEE PES General Meeting | Conference & Exposition. :1-5

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ieeexplore.ieee.org/document/6939104/
https://asu.pure.elsevier.com/en/publications/approximate-dynamic-programming-based-supplementary-frequency-con
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6939104

Approximate dynamic programming based on Gaussian process regression for the perimeter patrol optimization problem

Authors: Kang Sun Xiaolei Sun Chao Liu et al.

Source: 2014 International Conference on Mechatronics and Control (ICMC). :1750-1754

Subject Terms: 2. Zero hunger, 0209 industrial biotechnology, 02 engineering and technology, 16. Peace & justice

Access URL: https://ieeexplore.ieee.org/document/7231861/

Approximate dynamic programming-based approaches for input–output data-driven control of nonlinear processes: Approximate dynamic programming-based approaches for input--output data-driven control of nonlinear processes

Authors: Lee, JM Lee, JH Lee, JayHyung

Source: Automatica. 41:1281-1288

Subject Terms: Nonlinear model identification, 0209 industrial biotechnology, Discrete-time control/observation systems, Approximate dynamic programming, Reinforcement learning, \(Q\)-learning, Dynamic programming in optimal control and differential games, 02 engineering and technology, NARX model, System identification, Dynamic programming, Nonlinear model predictive control

File Description: application/xml

Access URL: https://zbmath.org/2192836
https://doi.org/10.1016/j.automatica.2005.02.006

Approximate dynamic programming based control of hyperbolic PDE systems using reduced-order models from method of characteristics

Authors: Sridharakumar Narasimhan Niket S. Kaisare Sudhakar Munusamy

Source: Computers & Chemical Engineering. 57:122-132

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/cce/cce57.html#MunusamyNK13
https://www.sciencedirect.com/science/article/pii/S009813541300046X