177 related articles for article (PubMed ID: 32568718)
1. Optimal Robot-Environment Interaction Under Broad Fuzzy Neural Adaptive Control.
Huang H; Yang C; Chen CLP
IEEE Trans Cybern; 2021 Jul; 51(7):3824-3835. PubMed ID: 32568718
[TBL] [Abstract][Full Text] [Related]
2. Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning.
He W; Dong Y
IEEE Trans Neural Netw Learn Syst; 2018 Apr; 29(4):1174-1186. PubMed ID: 28362618
[TBL] [Abstract][Full Text] [Related]
3. Adaptive fuzzy neural network control design via a T-S fuzzy model for a robot manipulator including actuator dynamics.
Wai RJ; Yang ZW
IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1326-46. PubMed ID: 18784015
[TBL] [Abstract][Full Text] [Related]
4. Trajectory Planning of Robot Manipulator Based on RBF Neural Network.
Song Q; Li S; Bai Q; Yang J; Zhang A; Zhang X; Zhe L
Entropy (Basel); 2021 Sep; 23(9):. PubMed ID: 34573832
[TBL] [Abstract][Full Text] [Related]
5. Research on Robot Fuzzy Neural Network Motion System Based on Artificial Intelligence.
Hu J
Comput Intell Neurosci; 2022; 2022():4347772. PubMed ID: 35186062
[TBL] [Abstract][Full Text] [Related]
6. Adaptive Fuzzy Control for Coordinated Multiple Robots With Constraint Using Impedance Learning.
Kong L; He W; Yang C; Li Z; Sun C
IEEE Trans Cybern; 2019 Aug; 49(8):3052-3063. PubMed ID: 30843856
[TBL] [Abstract][Full Text] [Related]
7. Admittance-Based Adaptive Cooperative Control for Multiple Manipulators With Output Constraints.
Li Y; Yang C; Yan W; Cui R; Annamalai A
IEEE Trans Neural Netw Learn Syst; 2019 Dec; 30(12):3621-3632. PubMed ID: 30843811
[TBL] [Abstract][Full Text] [Related]
8. Application of Adaptive and Switching Control for Contact Maintenance of a Robotic Vehicle-Manipulator System for Underwater Asset Inspection.
Cetin K; Zapico CS; Tugal H; Petillot Y; Dunnigan M; Erden MS
Front Robot AI; 2021; 8():706558. PubMed ID: 34395538
[TBL] [Abstract][Full Text] [Related]
9. On position/force tracking control problem of cooperative robot manipulators using adaptive fuzzy backstepping approach.
Baigzadehnoe B; Rahmani Z; Khosravi A; Rezaie B
ISA Trans; 2017 Sep; 70():432-446. PubMed ID: 28801078
[TBL] [Abstract][Full Text] [Related]
10. Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.
Peng G; Chen CLP; Yang C
IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4551-4561. PubMed ID: 33651696
[TBL] [Abstract][Full Text] [Related]
11. Adaptive Neural Network Control of an Uncertain 2-DOF Helicopter With Unknown Backlash-Like Hysteresis and Output Constraints.
Zhao Z; Zhang J; Liu Z; Mu C; Hong KS
IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10018-10027. PubMed ID: 35439143
[TBL] [Abstract][Full Text] [Related]
12. Neural-Learning-Based Control for a Constrained Robotic Manipulator With Flexible Joints.
He W; Yan Z; Sun Y; Ou Y; Sun C
IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):5993-6003. PubMed ID: 29993842
[TBL] [Abstract][Full Text] [Related]
13. Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules.
Roveda L; Haghshenas S; Caimmi M; Pedrocchi N; Molinari Tosatti L
Front Robot AI; 2019; 6():75. PubMed ID: 33501090
[TBL] [Abstract][Full Text] [Related]
14. Type-2 Fuzzy Hybrid Controller Network for Robotic Systems.
Chao F; Zhou D; Lin CM; Yang L; Zhou C; Shang C
IEEE Trans Cybern; 2020 Aug; 50(8):3778-3792. PubMed ID: 31283516
[TBL] [Abstract][Full Text] [Related]
15. Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks.
Narayanan V; Jagannathan S; Ramkumar K
IEEE Trans Neural Netw Learn Syst; 2019 Jun; 30(6):1651-1658. PubMed ID: 30334772
[TBL] [Abstract][Full Text] [Related]
16. Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints.
He W; Chen Y; Yin Z
IEEE Trans Cybern; 2016 Mar; 46(3):620-9. PubMed ID: 25850098
[TBL] [Abstract][Full Text] [Related]
17. Fuzzy-neural-network inherited sliding-mode control for robot manipulator including actuator dynamics.
Wai RJ; Muthusamy R
IEEE Trans Neural Netw Learn Syst; 2013 Feb; 24(2):274-87. PubMed ID: 24808281
[TBL] [Abstract][Full Text] [Related]
18. PD Control Compensation Based on a Cascade Neural Network Applied to a Robot Manipulator.
Soriano LA; Zamora E; Vazquez-Nicolas JM; Hernández G; Barraza Madrigal JA; Balderas D
Front Neurorobot; 2020; 14():577749. PubMed ID: 33343325
[TBL] [Abstract][Full Text] [Related]
19. Neural Adaptive Dynamic Surface Asymptotic Tracking Control of Hydraulic Manipulators With Guaranteed Transient Performance.
Yang X; Deng W; Yao J
IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7339-7349. PubMed ID: 35089862
[TBL] [Abstract][Full Text] [Related]
20. Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone.
Zhou Q; Zhao S; Li H; Lu R; Wu C
IEEE Trans Neural Netw Learn Syst; 2019 Dec; 30(12):3611-3620. PubMed ID: 30346291
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
