Adaptive PID-fractional-order nonsingular terminal sliding mode control for cable-driven manipulators using time-delay estimation
DOI10.1080/00207721.2020.1808732zbMath1483.93312OpenAlexW3080487503MaRDI QIDQ5026607
Bai Chen, Jiawei Peng, HongTao Wu, Kangwu Zhu, Yaoyao Wang
Publication date: 8 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2020.1808732
adaptive controlPIDcable-driven manipulatorsFONTSMfractional-order nonsingular terminal sliding modePID-FONTSM
Feedback control (93B52) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12)
Cites Work
- Adaptive robust control of fully constrained cable robots: singular perturbation approach
- Adaptive sliding mode control of a class of nonlinear systems with artificial delay
- Dynamics and input-output feedback linearization control of a wheeled mobile cable-driven parallel robot
- Super-twisting algorithm with time delay estimation for uncertain robot manipulators
- On the design of output information-based sliding mode controllers for switched descriptor systems: linear sliding variable approach
- Continuous finite-time control for robotic manipulators with terminal sliding mode
- Practical adaptive fractional‐order nonsingular terminal sliding mode control for a cable‐driven manipulator
- Adaptive nonsingular terminal sliding mode control of cable-driven manipulators with time delay estimation
- Adaptive global super-twisting sliding mode control-based filter for trajectory synchronisation of two-link flexible manipulators
- Adaptive output-feedback tracking control for a class of nonlinear systems with input saturation: a multi-dimensional Taylor network-based approach
- A new practical robust control of cable‐driven manipulators using time‐delay estimation
This page was built for publication: Adaptive PID-fractional-order nonsingular terminal sliding mode control for cable-driven manipulators using time-delay estimation