Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation

By Mou Chen, Gang Tao, Bin Jiang. IEEE Transactions on Neural Networks and Learning Systems, 2015

463 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d9627689d84f28015fe145630c7b39e79b76f334

How researchers see this paper

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

In Computational Theory and Mathematics

1. Hongyi Li
2. Qi Zhou
3. Gang Tao
4. Haiping Du
5. Mou Chen
6. Hak-Keung Lam

In Computer Networks and Communications

1. Gang Tao
2. Hongyi Li
3. Qi Zhou
4. Haiping Du
5. Mou Chen
6. Jiahui Wang
7. Hak-Keung Lam
8. Shaocheng Tong

In Control and Systems Engineering

1. Hongyi Li
2. Mou Chen
3. Qi Zhou
4. Haiping Du
5. Gang Tao
6. Hak-Keung Lam
7. Jiahui Wang
8. Shaocheng Tong

Citations in the corpus

• Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, methodology): “In order to compensate the uncertainties or faults, several control methods have been applied, such as fuzzy control [26], [27], adaptive control [28]–[30], sliding mode control (SMC) [31]–[33], and backstepping control [4], [34].”
• Adaptive dynamic surface asymptotic tracking for a class of uncertain nonlinear systems (2018, unknown): “(34) From Equation 34, we can obtain V̇ ≤ − n ∑”
• Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone (2016, background): “For the error system (49), an auxiliary variable is defined as [53]”