Cong Wang

Control and Systems Engineering · IEEE Transactions on Neural Networks · 2002–2018

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 19 citations into it; #223 of 8,257 by trust here, #585 by citations
• Artificial Intelligence — 8 citations into it; #4,353 of 35,345 by trust here, #9,760 by citations
• Computational Theory and Mathematics — 5 citations into it; #2,715 of 12,182 by trust here, #3,562 by citations

Whom Cong Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shuzhi Sam Ge
2. Dan Wang
3. C. Kwan
4. Simon S. Haykin
5. Vladimir Cherkassky
6. Jie Huang
7. Frank L. Lewis
8. Tomaso A. Poggio
9. S. Sastry
10. Thor I. Fossen

Who trusts Cong Wang overall

1. Shuzhi Sam Ge
2. Shaocheng Tong
3. Bing Chen
4. T. Zhang
5. Xiaoping Liu
6. Mou Chen
7. Yanjun Liu
8. Yong-ming Li
9. Huanqing Wang
10. Tie-shan Li

Papers from Cong Wang's perspective

Ordered by how strongly the researchers Cong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Universal Approximation Using Radial-Basis-Function Networks
2. Neural Networks: A Comprehensive Foundation
3. Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form (at - Automatisierungstechnik)
4. Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance (IEEE Transactions on Automatic Control)
5. Dynamic surface control for a class of nonlinear systems (IEEE Transactions on Automatic Control)
6. Adaptive NN control of uncertain nonlinear pure-feedback systems (at - Automatisierungstechnik)
7. Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms (at - Automatisierungstechnik)
8. Networks for approximation and learning
9. Direct adaptive NN control of a class of nonlinear systems (IEEE Trans. Neural Networks)
10. Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (IEEE transactions on industrial electronics (1982. Print))

Their papers

• An ISS-modular approach for adaptive neural control of pure-feedback systems (2006) — 497 citations
• Direct adaptive NN control of a class of nonlinear systems (2002) — 610 citations
• Platoon Formation Control With Prescribed Performance Guarantees for USVs (2018) — 295 citations
• Learning from neural control (2006) — 391 citations
• Adaptive neural control of uncertain MIMO nonlinear systems (2004) — 872 citations
• Adaptive NN control of uncertain nonlinear pure-feedback systems (2002) — 504 citations