Výsledky vyhledávání - "Learning-based control"

Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes

Autoři: Abdelhakim Amer Mohit Mehndiratta Yury Brodskiy a další

Zdroj: Amer, A H K S A, Mehndiratta, M, Brodskiy, Y & Kayacan, E 2025, 'Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes', IEEE Transactions on Control Systems Technology, vol. 33, no. 5, pp. 1913-1920. https://doi.org/10.1109/TCST.2025.3539218

Témata: model learning, model predictive control (MPC), learning-based control, trajectory tracking, Autonomous underwater vehicle (AUV), Gaussian processes (GPs)

Efficient speed control of DC motors: imitation learning with fuzzy logic expert systems

Autoři: Güray Sonugür

Zdroj: Automatika, Vol 66, Iss 2, Pp 306-320 (2025)

Témata: T59.5, DC motor control, Automation, imitation learning, Control engineering systems. Automatic machinery (General), learning-based control, TJ212-225, fuzzy logic expert system

Přístupová URL adresa: https://doaj.org/article/b06d4f8663a44d95b92dc243211888f8

Safety and Optimality in Learning-Based Control at Low Computational Cost

Autoři: Baumann, Dominik, Ph.D. Kowalczyk, Krzysztof Rojas, Cristian R. a další

Zdroj: IEEE Transactions on Automatic Control. 70(11):7275-7286

Témata: Safety, Kernel, Scalability, Optimization, Manipulators, Computational efficiency, Bayes methods, System dynamics, Control systems, Computational complexity, Learning-based control, Nadaraya--Watson estimator, safe learning

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-571573

Adaptive Sliding Mode Control for Quadrotor UAVs Under Disturbances Using Multi-Layer Perceptron

Autoři: Mir Mikael Fatemi Adel Akbarimajd

Zdroj: IEEE Access, Vol 13, Pp 45518-45526 (2025)

Témata: adaptive controller, quadrotor, sliding mode control, robust stability, Electrical engineering. Electronics. Nuclear engineering, Learning-based control, optimization, TK1-9971

Přístupová URL adresa: https://doaj.org/article/bf3943c2383c4f1fa6f10da90f04b121

Towards learning-based trajectory tracking control for a planetary exploration rover: Adaptive model predictive control

Autoři: Baldauf, Niklas Lakatos, Kristin Meinert, Alexander a další

Zdroj: 2024 28th International Conference on System Theory, Control and Computing (ICSTCC). :1-6

Témata: machine learning, model predictive control, learning-based control, planetary exploration rover

Přístupová URL adresa: https://elib.dlr.de/207853/
https://doi.org/10.1109/icstcc62912.2024.10744714

Learning-based model predictive control with moving horizon state estimation for autonomous racing

Autoři: Kebbati, Yassine Rauh, Andreas Ait-Oufroukh, Naima a další

Přispěvatelé: Kebbati, Yassine Rauh, Andreas Ait-Oufroukh, Naima a další

Zdroj: International Journal of Control. 98:1542-1552

Témata: Optimization and Control, Autonomous driving, Autonomous driving Predictive control Trajectory planning State estimation Learning-based control, Trajectory planning, Predictive control, Learning-based control, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering, State estimation

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2510.05366
https://univ-evry.hal.science/hal-04745064v1
https://doi.org/10.1080/00207179.2024.2409305
https://univ-evry.hal.science/hal-04745064v1/document

Online Learning Based Shape Control for a Soft Manipulator Based on Spatial Features Feedback

Autoři: Yi Shen Jinghao Zhang Ye Yuan a další

Zdroj: IEEE Robotics and Automation Letters. 9:10081-10088

Témata: Kinematics, Shape, Adaptation models, Contour feature, Vectors, Soft manipulator, Learning-based control, Deformation, Atmospheric modeling, Feature extraction, Analytical models, Shape control, Visualization

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning

Autoři: Francesco De Lellis Marco Coraggio Giovanni Russo a další

Zdroj: IEEE

Témata: 0301 basic medicine, FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Computational control, 02 engineering and technology, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, deep reinforcement learning (RL), learning-based control, policy validation, reward shaping, Machine Learning (cs.LG), 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2311.10026
https://hdl.handle.net/11588/993158
https://ieeexplore.ieee.org/abstract/document/10534075
https://discovery-pp.ucl.ac.uk/id/eprint/10194559/

Safety-Enhanced Self-Learning for Optimal Power Converter Control

Autoři: Yihao Wan Qianwen Xu Tomislav Dragičević

Zdroj: Wan, Y, Xu, Q & Dragicevic, T 2024, ' Safety-Enhanced Self-Learning for Optimal Power Converter Control ', IEEE Transactions on Industrial Electronics, vol. 71, no. 11, pp. 15229-15234 . https://doi.org/10.1109/TIE.2024.3363759

Témata: Safety policy, Reinforcement learning (RL), Power converters, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology, Systems and Control (eess.SY), Learning-based control, Electrical Engineering and Systems Science - Systems and Control, Finite control-set model predictive control (FCS-MPC)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2312.04158
https://orbit.dtu.dk/en/publications/e91f2633-16dd-4fc4-95a9-5f6f7f0b1401

Online Learning‐Based Event‐Triggered Model Predictive Control With Shrinking Prediction Horizon for Perturbed Nonlinear Systems: Online learning-based event-triggered model predictive control with shrinking prediction horizon for perturbed nonlinear systems

Autoři: Min Lin Shuo Shan Zhongqi Sun a další

Zdroj: International Journal of Robust and Nonlinear Control. 35:659-675

Témata: Perturbations in control/observation systems, self-triggered control, learning-based control, model predictive control, shrinking horizon, Nonlinear systems in control theory, Model predictive control, Discrete event control/observation systems, event-triggered control

Popis souboru: application/xml

Learning-Based High-Precision Tracking Control: Development, Synthesis, and Verification on Spiral Scanning With a Flexure-Based Nanopositioner

Autoři: Xiaocong Li Haiyue Zhu Jun Ma a další

Zdroj: IEEE/ASME Transactions on Mechatronics. 29:3867-3876

Témata: Optimization, Model learning for control, Adaptive control, Nanopositioning, Optimization and optimal control, Learning-based control, Automation, Cost function, Data-driven optimization, Feedforward systems, Trajectory tracking, Precision motion control, Robots

Certifiable Robot Control under Uncertainty: Towards Safety, Stability, and Robustness

Autoři: Long, Kehan

Témata: Robotics, Applied mathematics, Computer science, Certifiable Robot Control, Deep Learning, Learning-based Control, Optimization and Control Theory, Robotics, Safe Autonomy

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9s07n7vn
https://escholarship.org/content/qt9s07n7vn/qt9s07n7vn.pdf

Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms

Autoři: Farima Hajiahmadi Mohammad Jafari Mahmut Reyhanoglu

Zdroj: AgriEngineering, Vol 6, Iss 2, Pp 1417-1435 (2024)

Témata: smart farming, Agriculture (General), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, automation and robotics in agriculture, 02 engineering and technology, TA1-2040, machine learning-based control, Engineering (General). Civil engineering (General), 7. Clean energy, agricultural solar farms, S1-972

Přístupová URL adresa: https://doaj.org/article/7f22328899494955933e6e3f8c7689c1

Addressing Frequency Stability in Islanded Microgrids with Multi-VSGs: A Review of Control Strategies

Autoři: Honggang Du Wenyong Guo Junbiao Shi a další

Zdroj: Energies, Vol 18, Iss 22, p 6017 (2025)

Témata: islanded microgrids, VSG, frequency stability, machine learning-based control, Technology

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/22/6017; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/fa101e5a7c164992a6f06982a7e84957

Adaptive learning-based model predictive control for uncertain interconnected systems: A set membership identification approach

Autoři: Aboudonia, Ahmed Lygeros, John

Zdroj: Automatica, 171

Témata: Model predictive control, Optimization-based control, Learning-based control

Popis souboru: application/application/pdf

Přístupová URL adresa: http://hdl.handle.net/20.500.11850/699916

Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators

Autoři: Minghao Han Zhaojian Li Xiang Yin a další

Přispěvatelé: Minghao Han Zhaojian Li Xiang Yin a další

Zdroj: IEEE Transactions on Industrial Informatics. 20:4675-4684

Témata: Engineering, Deep recurrent koopman operators, Learning-based control

Popis souboru: application/pdf

RL-Based Adaptive Controller for High Precision Reaching in a Soft Robot Arm

Autoři: Nazeer, Muhammad Sunny Laschi, Cecilia Falotico, Egidio

Zdroj: IEEE Transactions on Robotics

Témata: Bayesian optimization (BO), cerebellum inspired compensator for motor control, imitation learning by coaching, machine learning-based control, reinforcement learning (RL), soft robots

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11382/573533
https://ieeexplore.ieee.org/abstract/document/10478622
https://doi.org/10.1109/TRO.2024.3381558

End-to-End Path Planning Under Linear Temporal Logic Specifications

Autoři: Chaeeun Yang Sojeong Yoon Kyunghoon Cho

Zdroj: IEEE Access, Vol 12, Pp 57410-57423 (2024)

Témata: 0209 industrial biotechnology, Deep learning-based control synthesis, formal methods, 0202 electrical engineering, electronic engineering, information engineering, mission-based path planning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/cc2f7cfae7b549ff9a0557428bbbb508

Deep Learning-Based Path Planning Under Co-Safe Temporal Logic Specifications

Autoři: Kyoungho Lee Kyunghoon Cho

Zdroj: IEEE Access, Vol 12, Pp 7704-7718 (2024)

Témata: 0209 industrial biotechnology, Deep learning-based control synthesis, formal methods, 0202 electrical engineering, electronic engineering, information engineering, mission-based path planning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/32613d4641e64c20b5d30f953fce4d22

Hierarchical multi-agent control of traffic lights based on collective learning

Autoři: Jin, Junchen Ma, Xiaoliang

Zdroj: Engineering applications of artificial intelligence. 68:236-248

Témata: Hierarchical model of traffic system, Multi-agent traffic light control, Decentralized system, Learning-based control, Collective machine learning, Transportvetenskap, Transport Science

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223272
https://kth.diva-portal.org/smash/get/diva2:1183324/FULLTEXT01.pdf