Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Linghuan Kong"'
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 9, Pp 1257-1269 (2021)
Abstract This paper proposes an adaptive sliding mode tracking control for a robotic manipulator to guarantee a deferred performance under input non‐linearities and external perturbations. Control inputs of the robotic manipulator are entrapped int
Externí odkaz:
https://doaj.org/article/61da39a2258b468ba81a1d42d26f945a
Publikováno v:
IEEE Access, Vol 8, Pp 15123-15131 (2020)
In this paper, a novel single-parameter adaptive finite time fault tolerant control (FTC) scheme is developed for an n-link robotic system with actuator fault, disturbances, system parameter uncertainties and saturation constraints. First, a finite t
Externí odkaz:
https://doaj.org/article/e3ca2111be4d477fa0b2c1e69b64e170
Publikováno v:
IEEE Transactions on Automatic Control. 68:3760-3767
Publikováno v:
ISA Transactions. 135:449-461
In this paper, a fixed-time control method is proposed for an uncertain robotic system with actuator saturation and constraints that occur a period of time after the system operation. A model-based control and a neural network-based learning approach
Publikováno v:
Robotica. 41:1371-1388
In this paper, we present a broad learning control method for a two-link flexible manipulator with prescribed performance (PP) and actuator faults. The trajectory tracking errors are processed through two consecutive error transformations to achieve
Publikováno v:
IEEE Transactions on Cybernetics. :1-13
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:3247-3256
Publikováno v:
International Journal of Robust and Nonlinear Control.
Publikováno v:
International Journal of Fuzzy Systems.
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:1916-1927
A neural learning-based finite-time control policy is presented for a robotic manipulator with unknown backlash-like hysteresis and system uncertainties. Adaptive neural networks are adopted to deal with unknown robotic dynamics. In order to eliminat