Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems

By Hongyi Li, Jiahui Wang, Hak-Keung Lam, Qi Zhou, Haiping Du. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2016

308 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/85668b547dd5697c4ce45e6e0b9336a8870b68a8

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. Hongyi Li
2. Haiping Du
3. Wei He
4. Hak-Keung Lam
5. Qi Zhou
6. Zhao Yin
7. Changyin Sun
8. Ligang Wu

In Control and Systems Engineering

1. Hongyi Li
2. Wei He
3. Qi Zhou
4. Changyin Sun
5. Haiping Du
6. Peng Wang
7. Hak-Keung Lam
8. Zhao Yin

Citations in the corpus

• Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint (2017, background): “INTRODUCTION RECENTLY, the developments of controller design for nonlinear system were investigated intensively, and various control approaches have been proposed, such as adaptive backstepping control [1]–[13], fuzzy-model based control [14]–[23] and sliding mode control [24]–[28].”
• Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances (2019, unknown): “Confronted with increasingly complex demands, many integrated control methodologies, including adaptive sliding mode control in [32], feedback-based ILC in [33], adaptive ILC in [34], and a two-stage ILC technique combined with realtime feedback in [35], are constructed based on the common and basic”
• Event-Triggered Fault Detection of Nonlinear Networked Systems (2017, methodology): “The model reduction problem was investigated for interval type-2 T–S fuzzy systems in [17].”
• Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function (2017, background): “Besides NNs, fuzzy logic control is also widely used for dealing with the nonlinear systems with uncertainties and constraints [68]–[72].”
• Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers (2019, background): “Therefore, many fuzzy information expression tools came into being [6], [15], [19].”