He Jiang

Orcid: 0000-0001-9841-3580

Affiliations:
  • Northeastern University, Shenyang, China


According to our database1, He Jiang authored at least 27 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Data-Based Adaptive Dynamic Programming for a Class of Discrete-Time Systems With Multiple Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Decentralized Event-Triggered Adaptive Control of Discrete-Time Nonzero-Sum Games Over Wireless Sensor-Actuator Networks With Input Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
Neural-Network-Based Robust Control Schemes for Nonlinear Multiplayer Systems With Uncertainties via Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Fuzzy Adaptive Tracking Control for MIMO Switched Uncertain Nonlinear Systems in Strict-Feedback Form.
IEEE Trans. Fuzzy Syst., 2019

$H_\infty$ Consensus for Linear Heterogeneous Discrete-Time Multiagent Systems With Output Feedback Control.
IEEE Trans. Cybern., 2019

$H_\infty$ Consensus for Linear Heterogeneous Multiagent Systems Based on Event-Triggered Output Feedback Control Scheme.
IEEE Trans. Cybern., 2019

Unknown input based observer synthesis for an interval type-2 polynomial fuzzy system with time delays and uncertainties.
Neurocomputing, 2019

Neural-network-based learning algorithms for cooperative games of discrete-time multi-player systems with control constraints via adaptive dynamic programming.
Neurocomputing, 2019

2018
Finite-Horizon H<sub>∞</sub> Tracking Control for Unknown Nonlinear Systems With Saturating Actuators.
IEEE Trans. Neural Networks Learn. Syst., 2018

Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays.
Neural Comput. Appl., 2018

General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems.
J. Frankl. Inst., 2018

Near-optimal output tracking controller design for nonlinear systems using an event-driven ADP approach.
Neurocomputing, 2018

Data-driven adaptive dynamic programming schemes for non-zero-sum games of unknown discrete-time nonlinear systems.
Neurocomputing, 2018

Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming.
Neurocomputing, 2018

Iterative adaptive dynamic programming methods with neural network implementation for multi-player zero-sum games.
Neurocomputing, 2018

Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning method.
Neurocomputing, 2018

H<sub>∞</sub> consensus for linear heterogeneous multi-agent systems with state and output feedback control.
Neurocomputing, 2018

Iterative ADP learning algorithms for discrete-time multi-player games.
Artif. Intell. Rev., 2018

2017
Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method.
IEEE Trans. Ind. Electron., 2017

Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms.
IEEE Trans. Cybern., 2017

Decentralized adaptive tracking control scheme for nonlinear large-scale interconnected systems via adaptive dynamic programming.
Neurocomputing, 2017

Neural-network-based control scheme for a class of nonlinear systems with actuator faults via data-driven reinforcement learning method.
Neurocomputing, 2017

H<sub>∞</sub> control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method.
Neurocomputing, 2017

Finite-horizon optimal control of unknown nonlinear time-delay systems.
Neurocomputing, 2017

2016
Event-based H∞ consensus control for second-order leader-following multi-agent systems.
J. Frankl. Inst., 2016

Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method.
Neurocomputing, 2016


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