Chun Lung Philip Chen

Control and Systems Engineering · 2011–2020

A researcher in the Science corpus: 11 papers; trusts 37 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Chun Lung Philip Chen trusts overall

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

  1. Shaocheng Tong
  2. Shuzhi Sam Ge
  3. Yanjun Liu
  4. Reza Olfati-Saber
  5. Wei He
  6. Dan Wang
  7. Keng Peng Tee
  8. Yong-ming Li
  9. Jianxiang Xi
  10. Wei Ren

Who trusts Chun Lung Philip Chen overall

  1. Wei He
  2. Rongxin Cui
  3. Yanjun Liu
  4. Qi Zhou
  5. Changyin Sun
  6. Mou Chen
  7. Guoxing Wen
  8. Hongyi Li
  9. David Ofosu Amoateng
  10. Zhao Yin

Papers from Chun Lung Philip Chen's perspective

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

  1. Consensus problems in networks of agents with switching topology and time-delays
  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. Dynamic surface control for a class of nonlinear systems (IEEE Transactions on Automatic Control)
  4. Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities (IEEE Transactions on Neural Networks)
  5. Necessary and sufficient graphical conditions for formation control of unicycles
  6. Consensus seeking in multiagent systems under dynamically changing interaction topologies
  7. Leader-following consensus of multi-agent systems under fixed and switching topologies
  8. Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints (at - Automatisierungstechnik)
  9. Control Lyapunov-Razumikhin functions and robust stabilization of time delay systems (IEEE Transactions on Automatic Control)
  10. Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form (IEEE Transactions on Cybernetics)

Their papers