Hanguang Su

Orcid: 0000-0003-1356-4158

Affiliations:
  • Northeastern University, Shenyang, Liaoning, China


According to our database1, Hanguang Su authored at least 24 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control.
Neurocomputing, February, 2024

Dynamic event-triggered-based online IRL algorithm for the decentralized control of the input and state constrained large-scale unmatched interconnected system.
Neurocomputing, February, 2024

Distributed Model Predictive Consensus Control for Stable Operation of Integrated Energy System.
IEEE Trans. Smart Grid, January, 2024

A learning-based approach to event-triggered guaranteed cost control for completely unknown nonlinear systems.
Trans. Inst. Meas. Control, 2024

2023
Adaptive Secure Practical Fault-Tolerant Output Regulation of Multiagent Systems With DoS Attacks by Asynchronous Communications.
IEEE Trans. Netw. Sci. Eng., 2023

The Bipartite Edge-Based Event-Triggered Output Tracking of Heterogeneous Linear Multiagent Systems.
IEEE Trans. Cybern., 2023

2022
Dual Heuristic Programming for Optimal Control of Continuous-Time Nonlinear Systems Using Single Echo State Network.
IEEE Trans. Cybern., 2022

Nonzero-sum differential games of continuous-Time nonlinear systems with uniformly ultimately ε-bounded by adaptive dynamic programming.
Appl. Math. Comput., 2022

2021
Echo State Network-Based Decentralized Control of Continuous-Time Nonlinear Large-Scale Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Online event-based adaptive critic design with experience replay to solve partially unknown multi-player nonzero-sum games.
Neurocomputing, 2021

Robust normalization and <i>H</i><sub>∞</sub> stabilization for uncertain Takagi-Sugeno fuzzy singular systems with time-delays.
Appl. Math. Comput., 2021

2020
Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Adaptive Dynamics Programming for H<sub>∞</sub> Control of Continuous-Time Unknown Nonlinear Systems via Generalized Fuzzy Hyperbolic Models.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Adaptive Bipartite Event-Triggered Output Consensus of Heterogeneous Linear Multiagent Systems Under Fixed and Switching Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2020

Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks.
IEEE Trans. Neural Networks Learn. 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

Integral reinforcement learning-based online adaptive event-triggered control for non-zero-sum games of partially unknown nonlinear systems.
Neurocomputing, 2020

Data-based stable value iteration optimal control for unknown discrete-time systems with time delays.
Neurocomputing, 2020

Online Dual-Network-Based Adaptive Dynamic Programming for Solving Partially Unknown Multi-Player Non-Zero-Sum Games With Control Constraints.
IEEE Access, 2020

2019
Event-Triggered Adaptive Dynamic Programming for Non-Zero-Sum Games of Unknown Nonlinear Systems via Generalized Fuzzy Hyperbolic Models.
IEEE Trans. Fuzzy Syst., 2019

Online event-triggered adaptive critic design for non-zero-sum games of partially unknown networked systems.
Neurocomputing, 2019

2018
Online adaptive policy iteration based fault-tolerant control algorithm for continuous-time nonlinear tracking systems with actuator failures.
J. Frankl. Inst., 2018

2017
Tracking control optimization scheme of continuous-time nonlinear system via online single network adaptive critic design method.
Neurocomputing, 2017

A modified fuzzy min-max neural network for data clustering and its application on pipeline internal inspection data.
Neurocomputing, 2017


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