Bing Chen

Control and Systems Engineering · IEEE Transactions on Cybernetics · 2009–2021

A researcher in the Science corpus: 9 papers; trusts 32 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Chen trusts overall

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

  1. Shuzhi Sam Ge
  2. Cong Wang
  3. Shaocheng Tong
  4. Dan Wang
  5. Yong He
  6. Sanjay P. Bhat
  7. Yong-ming Li
  8. Jie Huang
  9. Weisheng Chen
  10. John J. Hopfield

Who trusts Bing Chen overall

  1. Shaocheng Tong
  2. Yong-ming Li
  3. Qi Zhou
  4. Yongming Li
  5. Yuanxin Li
  6. Peng Shi
  7. Shuai Sui
  8. Zhi Liu
  9. Hongyi Li
  10. Zhengguang Wu

Papers from Bing Chen's perspective

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

  1. 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)
  2. Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms (at - Automatisierungstechnik)
  3. Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form (at - Automatisierungstechnik)
  4. Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form (at - Automatisierungstechnik)
  5. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints (at - Automatisierungstechnik)
  6. Finite-Time Stability of Continuous Autonomous Systems (SIAM Journal of Control and Optimization)
  7. An ISS-modular approach for adaptive neural control of pure-feedback systems (at - Automatisierungstechnik)
  8. Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance (IEEE Transactions on Automatic Control)
  9. Adaptive neural control of uncertain MIMO nonlinear systems (IEEE Transactions on Neural Networks)
  10. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (IEEE Transactions on Neural Networks)

Their papers