B. Xu

Control and Systems Engineering · IEEE transactions on industrial electronics (1982. Print) · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom B. Xu trusts overall

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

  1. Mou Chen
  2. Shuzhi Sam Ge
  3. Dan Wang
  4. T. Zhang
  5. Jay A. Farrell
  6. Min Wang
  7. S. Darbha
  8. Yahui Li
  9. Jie Huang
  10. Andrea Serrani

Who trusts B. Xu overall

  1. Mou Chen
  2. Chenguang Yang
  3. Wei He
  4. Zhouhua Peng
  5. Yong-ming Li
  6. Gang Tao
  7. Guoxing Wen
  8. Jun Wang
  9. Yiming Jiang
  10. Zhong-ke Shi

Papers from B. Xu's perspective

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

  1. Dynamic surface control for a class of nonlinear systems (IEEE Transactions on Automatic Control)
  2. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (IEEE Transactions on Neural Networks)
  3. Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form (at - Automatisierungstechnik)
  4. Direct adaptive NN control of a class of nonlinear systems (IEEE Trans. Neural Networks)
  5. Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities (IEEE Transactions on Neural Networks)
  6. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints (at - Automatisierungstechnik)
  7. Robust and adaptive backstepping control for nonlinear systems using RBF neural networks (IEEE Transactions on Neural Networks)
  8. Command filtered backstepping (American Control Conference)
  9. Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  10. Teleoperation Control Based on Combination of Wave Variable and Neural Networks (IEEE Transactions on Systems, Man & Cybernetics. Systems)

Their papers