Yiting Dong

Control and Systems Engineering · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 33 citations into it; #3,977 of 8,257 by trust here, #3,389 by citations
• Computational Theory and Mathematics — 10 citations into it; #7,520 of 12,182 by trust here, #5,046 by citations
• Computer Networks and Communications — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Yiting Dong trusts overall

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

1. Wei He
2. Shuzhi Sam Ge
3. Yanjun Liu
4. Keng Peng Tee
5. Beibei Ren
6. Qi Zhou
7. Shaocheng Tong
8. F. I. C. L. Philip Chen
9. Chun Lung Philip Chen
10. Hongyi Li

Who trusts Yiting Dong overall

1. Wei He
2. Chenguang Yang
3. Dapeng Li
4. Yanjun Liu

Papers from Yiting Dong's perspective

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

1. Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function (IEEE Transactions on Neural Networks)
2. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints (at - Automatisierungstechnik)
3. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)
4. Adaptive neural control of uncertain MIMO nonlinear systems (IEEE Transactions on Neural Networks)
5. Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems (IEEE Transactions on Neural Networks)
6. Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (IEEE Transactions on Cybernetics)
7. Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (IEEE Transactions on Systems, Man, and Cybernetics: Systems)
8. Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems (at - Automatisierungstechnik)
9. Adaptive Impedance Control for an Upper Limb Robotic Exoskeleton Using Biological Signals (IEEE transactions on industrial electronics (1982. Print))
10. Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks (IEEE Transactions on Neural Networks and Learning Systems)

Their papers

• Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (2016) — 761 citations
• Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning (2018) — 591 citations