Jun Wang

Control and Systems Engineering · IEEE Transactions on Systems, Man & Cybernetics. Systems · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Wang trusts overall

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

  1. Zhouhua Peng
  2. Dan Wang
  3. Thor I. Fossen
  4. Keng Peng Tee
  5. Antonio Pedro Aguiar
  6. Youshen Xia
  7. Yong-ming Li
  8. Shuzhi Sam Ge
  9. Wei He
  10. Roger Skjetne

Who trusts Jun Wang overall

  1. Zhouhua Peng
  2. Emre Sariyildiz
  3. Dan Wang

Papers from Jun Wang's perspective

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

  1. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (IEEE Transactions on Neural Networks)
  2. Coordination of groups of mobile autonomous agents using nearest neighbor rules
  3. Control of fully actuated ocean surface vessels using a class of feedforward approximators (IEEE Transactions on Control Systems Technology)
  4. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)
  5. Handbook of Marine Craft Hydrodynamics and Motion Control
  6. Containment Control in Mobile Networks (IEEE Transactions on Automatic Control)
  7. Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form (IEEE Transactions on Cybernetics)
  8. Fault tolerant finite-time leader-follower formation control for autonomous surface vessels with LOS range and angle constraints (at - Automatisierungstechnik)
  9. Finite-Time Formation Control of Under-Actuated Ships Using Nonlinear Sliding Mode Control (IEEE Transactions on Cybernetics)
  10. Distributed containment control of multi‐agent systems with general linear dynamics in the presence of multiple leaders

Their papers