Search Results - learning-based hierarchical control algorithm
-
1
Authors: et al.
Source: International Journal of Robust and Nonlinear Control. 32:5717-5740
Subject Terms: Hierarchical systems, 0209 industrial biotechnology, Iterative learning control, Perturbations in control/observation systems, learning-based hierarchical control algorithm, Networked control, networked marine surface vehicles, 02 engineering and technology, actuator faults and failures, fault-tolerant cooperation
File Description: application/xml
-
2
Authors:
Source: IET Control Theory & Applications. 18:2725-2741
-
3
Authors: et al.
Source: Energy Reports, Vol 10, Iss, Pp 3724-3732 (2023)
Subject Terms: Optimization, 13. Climate action, Solar generation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Hierarchical control system, 7. Clean energy, And Energy Storage System, TK1-9971
-
4
Authors: et al.
Source: International Journal of Production Research; Jun2025, Vol. 63 Issue 12, p4504-4522, 19p
-
5
Authors: et al.
Source: Algorithms; Aug2025, Vol. 18 Issue 8, p508, 19p
-
6
Authors:
Source: Engineering applications of artificial intelligence. 68:236-248
Subject Terms: Hierarchical model of traffic system, Multi-agent traffic light control, Decentralized system, Learning-based control, Collective machine learning, Transportvetenskap, Transport Science
File Description: electronic
-
7
Authors: et al.
Source: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :6077-6083
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology
-
8
Authors: et al.
Source: International Journal of Engineering Science & Information Technology; 2025, Vol. 5 Issue 4, p55-63, 9p
-
9
Alternate Title: Distributed reinforcement learning-based AUV 3D underwater current target tracking control algorithm. (English)
Authors: et al.
Source: Telecommunications Science; Oct2025, Vol. 41 Issue 10, p88-101, 14p
-
10
Authors: Linzheng Wang
Source: Applied and Computational Engineering. 161:1-10
-
11
Authors:
Source: Electronics (2079-9292); Jul2025, Vol. 14 Issue 14, p2776, 22p
-
12
Authors:
Source: IET Control Theory & Applications (Wiley-Blackwell); Dec2024, Vol. 18 Issue 18, p2725-2741, 17p
-
13
Authors: et al.
Source: Sustainability (2071-1050); Jun2023, Vol. 15 Issue 11, p8952, 22p
-
14
Authors: et al.
Source: Petroleum Science (KeAi Communications Co.); Aug2025, Vol. 22 Issue 8, p3333-3343, 11p
-
15
Authors:
Source: Energy. Jul2025, Vol. 326, pN.PAG-N.PAG. 1p.
Subject Terms: *DEEP reinforcement learning, *PARTICLE swarm optimization, *KRIGING, *INDUSTRIAL efficiency, *FUEL cells, *HYBRID electric vehicles, *FUEL cell vehicles
-
16
Authors: et al.
Source: Li, S, Oshnoei, A, Blaabjerg, F & Anvari-Moghaddam, A 2023, 'Hierarchical Control for Microgrids : A Survey on Classical and Machine Learning-Based Methods', Sustainability, vol. 15, no. 11, 8952, pp. 1-22. https://doi.org/10.3390/su15118952
Subject Terms: microgrids, communication links, hierarchical control, machine learning, reinforcement learning, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy, /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure, name=SDG 9 - Industry, Innovation, and Infrastructure
File Description: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/pissn/2071-1050; info:eu-repo/semantics/altIdentifier/eissn/2071-1050
-
17
Authors: et al.
Source: Scientific Reports; 7/5/2025, Vol. 15 Issue 1, p1-12, 12p
-
18
Authors: et al.
Source: International Journal of Automotive Technology; Feb2025, Vol. 26 Issue 1, p163-190, 28p
-
19
Authors: et al.
Source: Journal of Marine Science & Engineering; Sep2025, Vol. 13 Issue 9, p1826, 30p
-
20
Authors: et al.
Source: Chai, R, Niu, H, Carrasco, J, Arvin, F, Yin, H & Lennox, B 2022, 'Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment', IEEE Transactions on NEural Networks and Learning Systems, pp. 1-15. https://doi.org/10.1109/TNNLS.2022.3209154
Subject Terms: 0209 industrial biotechnology, 02 engineering and technology
File Description: application/pdf
Access URL: https://pubmed.ncbi.nlm.nih.gov/36215389
https://research.manchester.ac.uk/en/publications/af5ba457-5e6c-4943-80b4-3fc4d7e7b49d
https://doi.org/10.1109/TNNLS.2022.3209154
https://research.manchester.ac.uk/en/publications/af5ba457-5e6c-4943-80b4-3fc4d7e7b49d
https://ieeexplore.ieee.org/document/9913936/
https://pure.manchester.ac.uk/ws/files/232462104/Runqi_Hanlin_TNNLS_Draft.pdf
https://doi.org/10.1109/TNNLS.2022.3209154
Full Text Finder
Nájsť tento článok vo Web of Science