Learning from neural control

By Cong Wang, David John Hill. IEEE Transactions on Neural Networks, 2006

391 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/a6aaea39b3675b7b0b9ce19c7850ee9c1db81b9b

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. Xiaoping Liu
2. Chong Lin
3. Bing Chen
4. Shaocheng Tong
5. Shuzhi Sam Ge
6. Yong-ming Li
7. Mou Chen
8. Shuai Sui

In Control and Systems Engineering

1. Shaocheng Tong
2. Xiaoping Liu
3. Bing Chen
4. Chong Lin
5. Yong-ming Li
6. Shuzhi Sam Ge
7. Mou Chen
8. Tie-shan Li

Citations in the corpus

• Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach (2012, background): “Alternatively, in recent years, intensive research has been carried out on approximation-based adaptive neural network control or adaptive fuzzy control of nonlinear systems with lower triangle form via the backstepping technique, for instance, see [5], [7], [11], [20], [29], [33], [34], [41], and [”