Haifeng Huang

Control and Systems Engineering · with Ge · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haifeng Huang trusts overall

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

  1. Charalampos P. Bechlioulis
  2. Yanjun Liu
  3. Shuzhi Sam Ge
  4. Mou Chen
  5. George A. Rovithakis
  6. Jing Zhou
  7. Keng Peng Tee
  8. Shaocheng Tong
  9. F. I. C. L. Philip Chen
  10. Yahui Li

Papers from Haifeng Huang's perspective

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

  1. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints (at - Automatisierungstechnik)
  2. Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems (at - Automatisierungstechnik)
  3. Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance (IEEE Transactions on Automatic Control)
  4. Adaptive neural control of uncertain MIMO nonlinear systems (IEEE Transactions on Neural Networks)
  5. Robust and adaptive backstepping control for nonlinear systems using RBF neural networks (IEEE Transactions on Neural Networks)
  6. Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints (at - Automatisierungstechnik)
  7. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)
  8. Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (IEEE Transactions on Cybernetics)
  9. Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function (IEEE Transactions on Neural Networks)
  10. Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints (IEEE Transactions on Neural Networks)

Their papers