Adaptive Fuzzy Control Design for Stochastic Nonlinear Switched Systems With Arbitrary Switchings and Unmodeled Dynamics

By Yong-ming Li, Shuai Sui, Shaocheng Tong. IEEE Transactions on Cybernetics, 2017

419 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/de16f4994aa9ef60736967d6ce8c8a4980d91c4e

How researchers see this paper

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

In Control and Systems Engineering

1. Shaocheng Tong
2. Hongyi Li
3. Yanjun Liu
4. Qi Zhou
5. Guanghong Yang
6. Lei Liu
7. Lijie Wang
8. Xiangpeng Xie

In Statistical and Nonlinear Physics

1. Hongyi Li
2. Qi Zhou
3. C. Ahn
4. Lijie Wang
5. Chengwei Wu
6. Shaocheng Tong
7. Yong-ming Li

Citations in the corpus

• Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, background): “in systems, considerable attention has been attracted [44].”
• Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, background): “, θ̃ T n ]T as the augmented state vector of the nonlinear impulsive dynamical system and combining Equations 33, 34, 30, 31, and 32 to get the flow dynamics as ζ̇ = Fc(ζ), ζ ∈ , ζ ∉ , (43) where Fc(ζ) = [h1 , .”
• Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems (2019, background): “In recent years, the study of switched systems has been attracted much more attention [20], [24], especially for the stability analysis.”
• Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (2017, background): “Moreover, in the literature, time-triggered communications are generally used in nonlinear systems [19]–[21].”