Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Songyi Dian"'
Publikováno v:
Sensors, Vol 23, Iss 22, p 9238 (2023)
To overcome the difficulty in tracking the trajectory of an inspection robot inside a transformer, this paper proposes a distributed model predictive control method. First, the kinematics and dynamics models of a robot in transformer oil are establis
Externí odkaz:
https://doaj.org/article/290dc3f60030455c8aed33d151a2ebe4
Publikováno v:
Systems Science & Control Engineering, Vol 0, Iss 0, Pp 1-13 (2022)
In this paper, aiming at the actuator fault-tolerant trajectory tracking problem of two-wheeled differential-driven mobile robots, a super-twisting fractional-order sliding mode fault-tolerant control method combined with a fault observer is proposed
Externí odkaz:
https://doaj.org/article/107fc764769f45ff8f1ad279334bbbf2
Publikováno v:
IEEE Access, Vol 10, Pp 91545-91556 (2022)
A soft, or continuum, robot has great potential in many practical fields with confined space, such as manufacturing system, electrical industry and other, due to its flexibility and benign bending attribute. However, its innate nonlinear dynamics and
Externí odkaz:
https://doaj.org/article/e7de14c6988e4e25a5aae592f529733d
Publikováno v:
Systems Science & Control Engineering, Vol 0, Iss 0, Pp 1-11 (2021)
Two-wheeled self-balancing robots (TWSBR) is a highly nonlinear and inherently unstable under-driving system. When controlling its movement on an inclined surface, it is more difficult than when it is on a level road. This paper proposes a fuzzy frac
Externí odkaz:
https://doaj.org/article/57d4e6ce58854999af741969cab35925
Publikováno v:
Journal of Robotics, Vol 2022 (2022)
Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is selected as a part of the method in this paper after considering its powerf
Externí odkaz:
https://doaj.org/article/3128a2e50df841e586df589f7c80aa0c
Publikováno v:
Sensors, Vol 23, Iss 3, p 1125 (2023)
Multi-camera-based simultaneous localization and mapping (SLAM) has been widely applied in various mobile robots under uncertain or unknown environments to accomplish tasks autonomously. However, the conventional purely data-driven feature extraction
Externí odkaz:
https://doaj.org/article/75a97cc1a732486e9ecdbd2a809d4fb6
Publikováno v:
Sensors, Vol 23, Iss 2, p 762 (2023)
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making problems, and substantial progress has been achieved, especially in autonomous robotic skill learning. However, it is always difficult to deploy DRL
Externí odkaz:
https://doaj.org/article/aa0e3356f4574a6c82ece32014285bdc
Autor:
Songyi Dian, Peng Cheng, Qiang Ye, Jirong Wu, Ruisen Luo, Chen Wang, Dafeng Hui, Ning Zhou, Dong Zou, Qin Yu, Xiaofeng Gong
Publikováno v:
IEEE Access, Vol 7, Pp 27586-27603 (2019)
Wildfires could pose a significant danger to electrical transmission lines and cause considerable losses to the power grids and residents nearby. Previous studies of preventing wildfire damages to electrical transmission lines mostly analyze wildfire
Externí odkaz:
https://doaj.org/article/4553db7fa9294333afc9ba73c8292399
Publikováno v:
Symmetry, Vol 12, Iss 3, p 479 (2020)
In this study, a general type-2 fractional order fuzzy PID (GT2FO-FPID) controller is proposed to fulfil the balance adjustment of the Power-line Inspection (PLI) robot system. It is a combination of Mamdani general type-2 fuzzy logic controller (GT2
Externí odkaz:
https://doaj.org/article/f931622cf967470bb34abf8ea803c786
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-18
Hydropower station is vital for the stable growth of the national economy. How to timely warn the possible faults of hydropower stations has become an increasingly popular research topic. The traditional detection model is difficult to detect the sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0352f7559cf437fd7bf064109138ff70
https://doi.org/10.3233/jifs-223461
https://doi.org/10.3233/jifs-223461