Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach

By Qi Zhou, Hongyi Li, Chengwei Wu, Lijie Wang, C. Ahn. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2017

299 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8ad7e07205adbf3c37f4a09a562d62f7c03f7e30

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. Wei He
2. Yiting Dong
3. Felix Stahlberg
4. Graham Neubig

In Control and Systems Engineering

1. Yiting Dong
2. Wei He
3. Yong‐Hua Liu
4. Shaocheng Tong
5. Yanjun Liu
6. Changyin Sun
7. Chenguang Yang

Citations in the corpus

• Adaptive dynamic surface asymptotic tracking for a class of uncertain nonlinear systems (2018, background): “Consider the closed-loop system consisting of the plant (1); the nonlinear filters (8) and (16); the control law (18); and the adaptive laws (5), (13), and (19).”
• Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems (2018, unknown): “, xn can not be measured, the following state observer is adopted [38]: ̇̂ xm = x̂m+1 − lmx̂1, 1 ≤ m ≤ n − 1 ̇̂ xn = Q(u)− lnx̂1 (14)”
• Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning (2018, methodology): “In [37], adaptive fuzzy control is used of nonstrict-feedback nonlinear systems with input saturation.”