He Jiang
Computational Theory and Mathematics · with Luo · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 16 citations into it
- Control and Systems Engineering — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom He Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Huaguang Zhang
- Frank L. Lewis
- Kyriakos G. Vamvoudakis
- Hamidreza Modares
- Derong Liu
- Jennie Si
- Qinglai Wei
- Yanhong Luo
Papers from He Jiang's perspective
Ordered by how strongly the researchers He Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Consensus problems in networks of agents with switching topology and time-delays
- Information flow and cooperative control of vehicle formations
- Robust Finite-Time Consensus Tracking Algorithm for Multirobot Systems (IEEE/ASME transactions on mechatronics)
- Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming (IEEE transactions on fuzzy systems)
- Near-Optimal Control for Nonzero-Sum Differential Games of Continuous-Time Nonlinear Systems Using Single-Network ADP (IEEE Transactions on Cybernetics)
- Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems (IEEE Transactions on Neural Networks and Learning Systems)
- $ {H}_{ {\infty }}$ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning (IEEE Transactions on Neural Networks and Learning Systems)
- Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations (at - Automatisierungstechnik)
- An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
- Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints (IEEE Transactions on Neural Networks)