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

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Autoři: Tufenkci, Sevilay Alagoz, Baris Baykant Kavuran, Gürkan a další

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning

Autoři: Binqiao Zhang Changlin He

Zdroj: IEEE Access, Vol 13, Pp 115090-115101 (2025)

Témata: Voltage and var control (VVC), parameter sharing, deep reinforcement learning, voltage regulation, Electrical engineering. Electronics. Nuclear engineering, twin-delay deep deterministic policy gradient algorithm, TK1-9971

Přístupová URL adresa: https://doaj.org/article/ce8d6e3433394b32a5e987fc1ddde45f

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Autoři: Tufenkci, Sevilay Alagoz, Baris Baykant Kavuran, Gürkan a další

Zdroj: Expert Systems with Applications. 213:119192

Témata: Deep reinforcement learning, gradient, 0209 industrial biotechnology, PI controller, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, DC motor, Metaheuristic optimization, Twin -delayed deep deterministic policy

Popis souboru: text; application/pdf

Přístupová URL adresa: http://hdl.handle.net/11012/208567

Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.

Autoři: Hassan, Ahmed M. Ababneh, Jafar Attar, Hani a další

Zdroj: PLoS ONE; 1/3/2025, Vol. 20 Issue 1, p1-27, 27p

Témata: MACHINE learning, METAHEURISTIC algorithms, REINFORCEMENT learning, MATHEMATICAL optimization, TRAFFIC safety

Implementing an intelligent diagnosis and treatment system for in-hospital cardiac arrest in the Utstein style: a multi-center case study.

Autoři: Shao, Yan Yang, Zhou Chen, Wei a další

Zdroj: Journal of Translational Medicine; 11/4/2024, Vol. 22 Issue 1, p1-14, 14p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, MONTE Carlo method, CARDIAC arrest, CARDIOPULMONARY resuscitation, BYSTANDER CPR

Reinforcement learning speed control of a separately excited DC motor.

Autoři: Benmakhlouf, Abdeslam Zidani, Ghania Djarah, Djalal

Zdroj: Electrotechnical Review / Elektrotehniski Vestnik; 2024, Vol. 91 Issue 5, p257-264, 8p

Témata: CONTINUOUS processing, ARMATURES, SPEED, SIGNALS & signaling, REINFORCEMENT learning

A Review on Cyber-Twin in Sixth Generation Wireless Networks: Architecture, Research Challenges & Issues.

Autoři: Nivetha, A. Preetha, K. S.

Zdroj: Wireless Personal Communications; Oct2024, Vol. 138 Issue 3, p1815-1865, 51p

Témata: WIRELESS Internet, TELECOMMUNICATION systems, NETWORK performance, ARTIFICIAL intelligence, DIGITAL twin

Enhancing DC Motor Speed Control Performance Using Heuristic Optimization and Comparative Analysis of Control Methods.

Alternate Title: Sezgisel Optimizasyon Kullanarak DC Motor Hız Kontrol Performansının Artırılması ve Kontrol Yöntemlerinin Karşılaştırmalı Analizi. (Turkish)

Autoři: BOZALİ, Beytullah AL-SAREMİ, Nasser Bandar Nasser ÖZTÜRK, Ali

Zdroj: Duzce University Journal of Science & Technology; eki2024, Vol. 12 Issue 4, p2220-2244, 25p

Témata: DIRECT current electric motors, PROCESS control systems, PID controllers, ENERGY consumption, MANUFACTURING processes, PARTICLE swarm optimization, MATHEMATICAL optimization, MECHANICAL energy

TD3 Algorithm of Dynamic Classification Replay Buffer Based PID Parameter Optimization.

Autoři: Zhong, Haojun Wang, Zhenlei

Zdroj: International Journal of Control, Automation & Systems; Oct2024, Vol. 22 Issue 10, p3068-3082, 15p

Proposed Supercluster-Based UMBBFS Routing Protocol for Emergency Message Dissemination in Edge-RSU for 5G VANET.

Autoři: Albeyar, Maath A. Smaoui, Ikram Mnif, Hassene a další

Zdroj: Computers (2073-431X); Aug2024, Vol. 13 Issue 8, p208, 26p

Témata: INTELLIGENT transportation systems, END-to-end delay, NETWORK performance, EDGE computing, NUMERICAL analysis, VEHICULAR ad hoc networks

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS.

Autoři: Shahverdi, Kazem Noorali, Atefe Ghodousi, Hesam a další

Zdroj: Water (20734441); Jun2024, Vol. 16 Issue 12, p1699, 13p

Témata: WATER levels, WATER distribution, IRRIGATION water, WATER management, CANALS, IRRIGATION management

Geografický termín: IRAN, KHUZISTAN (Iran)

Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication.

Autoři: Kanupriya Chana, Inderveer Goyal, Raman Kumar

Zdroj: Concurrency & Computation: Practice & Experience; 6/10/2024, Vol. 36 Issue 13, p1-60, 60p

Témata: EDGE computing, BIOMETRIC identification, QUALITY of service, INTERNET of things, CLOUD computing, CLOUD storage

Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor.

Autoři: Alejandro-Sanjines, Ulbio Maisincho-Jivaja, Anthony Asanza, Victor a další

Zdroj: Biomimetics (2313-7673); Sep2023, Vol. 8 Issue 5, p434, 26p

Témata: MACHINE learning, COST functions, ARTIFICIAL intelligence, PID controllers, MANUFACTURING processes, REINFORCEMENT learning

Autonomous Drone Electronics Amplified with Pontryagin-Based Optimization.

Autoři: Xu, Jiahao Sands, Timothy

Zdroj: Electronics (2079-9292); Jun2023, Vol. 12 Issue 11, p2541, 20p

Témata: ARTIFICIAL intelligence, SYSTEM identification, LEAST squares, MOVING average process, DETERMINISTIC algorithms, SYSTEMS engineering

Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments.

Alternate Title: Mobil robotların bilinmeyen ortamlarda çarpışmasız gezinmesi için derin deterministik politika gradyan takviyeli öğrenme. (Turkish)

Autoři: YILMAZ, Taner AYDOGMUS, Omur

Zdroj: Firat University Journal of Experimental & Computational Engineering (FUJECE); 2023, Vol. 2 Issue 2, p87-96, 10p

Témata: MOBILE robots, REINFORCEMENT learning, ARTIFICIAL intelligence, NAVIGATION, LEARNING, ROBOTS, MACHINE learning

Coordinated control of wind turbine and hybrid energy storage system based on multi-agent deep reinforcement learning for wind power smoothing

Autoři: Wang, X. Zhou, J. Qin, B. a další

Popis souboru: text

Relation: https://eprints.whiterose.ac.uk/194268/3/EST_manuscript%20accepted.pdf; Wang, X., Zhou, J., Qin, B. et al. (1 more author) (2023) Coordinated control of wind turbine and hybrid energy storage system based on multi-agent deep reinforcement learning for wind power smoothing. Journal of Energy Storage, 57. 106297. ISSN 2352-152X

Dostupnost: https://eprints.whiterose.ac.uk/194268/
https://eprints.whiterose.ac.uk/194268/3/EST_manuscript%20accepted.pdf

Advanced Data Mining and Applications

Autoři: Xiaochun Yang Heru Suhartanto Guoren Wang a další

Resource Type: eBook.

Témata: Data mining--Congresses

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