Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties
By Jinhui Zhang, Peng Shi, Yuanqing Xia. IEEE transactions on fuzzy systems, 2010
307 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f08971b346763aee433200e5814ba00d7fe44e8c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Control and Systems Engineering
- Hongyi Li
- Haiping Du
- Qi Zhou
- Hak-Keung Lam
- Pramod D. Shendge
- Jiahui Wang
- Shrivijay Balwant Phadke
- Divyesh Ginoya
Citations in the corpus
- Sliding Mode Control for Mismatched Uncertain Systems Using an Extended Disturbance Observer (2014, background): “A variety of control strategies like the Riccati approach [8], adaptive control [9], fuzzy and neural network based control [10]–[12], LMI-based control [13], integral sliding mode control [14], to name just a few, have been proposed in the literature to address the problem of mismatched uncertainti”
- Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, background): “Comparing with the results of designing sliding mode surface parameter in [54], [60], and [61], the proposed method of designing sliding mode surface parameter is independent of the number of the fuzzy rules.”