Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks

By Naira Hovakimyan, F. Nardi, A. Calise, Nakwan Kim. IEEE Trans. Neural Networks, 2002

321 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4536ca2cacb6ab82d45ad87e988e8565d5949a3a

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. Shuzhi Sam Ge
2. Keng Peng Tee
3. Beibei Ren
4. Tong-heng Lee
5. Shaocheng Tong
6. Wei He
7. Yong-ming Li
8. Yanjun Liu

In Control and Systems Engineering

1. Shuzhi Sam Ge
2. Keng Peng Tee
3. Beibei Ren
4. Wei He
5. Tong-heng Lee
6. Shaocheng Tong
7. Xu Jin
8. Mou Chen

Citations in the corpus

• Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function (2010, methodology): “Adaptive NN control approaches based on Lyapunov’s stability theory has been investigated for nonlinear systems with matching [1], [4], [14], [21], and nonmatching conditions [18], [19], as well as systems with output feedback requirement [2], [ 10 ], [11], [22], [23].”