Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics

By Shaocheng Tong, Tong Wang, Yong-ming Li. IEEE transactions on fuzzy systems, 2014

329 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5e7af2158ccc97c732019d873bf43a26d1c7b04a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qi Zhou
2. Hongyi Li
3. Guanghong Yang
4. Michalis Mavrovouniotis
5. Mien Van
6. Lijie Wang
7. C. Ahn
8. Chengwei Wu

In Control and Systems Engineering

1. Hongyi Li
2. Qi Zhou
3. Lijie Wang
4. Shaocheng Tong
5. Chengwei Wu
6. Michalis Mavrovouniotis
7. Shuzhi Sam Ge
8. Mien Van

Citations in the corpus

• An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators (2019, methodology): “Therefore, almost every approaches for FTC systems in [57]–[60] and the work in this paper used the simulation environment to verify the effectiveness of the methods.”
• Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, methodology): “For the actuator failure case, an adaptive failure compensation control strategy was provided for a category of nonlinear stochastic systems with unmodeled dynamics in [46].”
• Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, background): “From Equations 38 and 39, the reset dynamics for the system are given by Δzi = z+ i − zi = 0, t = tk (40) Δẑi = ẑ+ i − ẑi = zi − ẑi = ei, t = tk (41)”