Wei Wang

Control and Systems Engineering · with Liu · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

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

  1. Jamal Daafouz
  2. Shuzhi Sam Ge
  3. Min Wu
  4. Yong He
  5. Dan Wang
  6. Shaocheng Tong
  7. C. Kwan
  8. Pierre Riedinger
  9. Yi Zhang
  10. Claude Iung

Who trusts Wei Wang overall

  1. Iman Zamani
  2. Yanjun Liu
  3. Mou Chen
  4. Masoud Shafiee
  5. Xudong Zhao
  6. Shaocheng Tong
  7. Chun Lung Philip Chen

Papers from Wei Wang's perspective

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

  1. Universal Approximation Using Radial-Basis-Function Networks
  2. Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form (at - Automatisierungstechnik)
  3. A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems (IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans)
  4. Robust backstepping control of nonlinear systems using neural networks (IEEE Trans. Syst. Man Cybern. Part A)
  5. Direct adaptive NN control of a class of nonlinear systems (IEEE Trans. Neural Networks)
  6. Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms (at - Automatisierungstechnik)
  7. Stability analysis of switched systems with stable and unstable subsystems: an average dwell time approach (Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334))
  8. Control design of an automated highway system (Proceedings of the IEEE)
  9. Adaptive neural control of uncertain MIMO nonlinear systems (IEEE Transactions on Neural Networks)
  10. Robust and adaptive backstepping control for nonlinear systems using RBF neural networks (IEEE Transactions on Neural Networks)

Their papers