Yuling Liang

Orcid: 0000-0002-9256-2005

According to our database1, Yuling Liang authored at least 20 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
Event-triggered explorized IRL-based decentralized fault-tolerant guaranteed cost control for interconnected systems against actuator failures.
Neurocomputing, 2025

2024
Event-Triggered Guarantee Cost Control for Partially Unknown Stochastic Systems via Explorized Integral Reinforcement Learning Strategy.
IEEE Trans. Neural Networks Learn. Syst., June, 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

Mixed H<sub>2</sub>/H<sub>∞</sub> Control for Nonlinear Closed-Loop Stackelberg Games With Application to Power Systems.
IEEE Trans Autom. Sci. Eng., January, 2024

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

2023
Adaptive Bipartite Output Tracking Consensus in Switching Networks of Heterogeneous Linear Multiagent Systems Based on Edge Events.
IEEE Trans. Neural Networks Learn. Syst., 2023

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

2021
Event-triggered reinforcement learning H∞ control design for constrained-input nonlinear systems subject to actuator failures.
Inf. Sci., 2021

Integral reinforcement learning-based guaranteed cost control for unknown nonlinear systems subject to input constraints and uncertainties.
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

A new robust output tracking control for discrete-time switched constrained-input systems with uncertainty via a critic-only iteration learning method.
Neurocomputing, 2020

Reduced-order observer-based robust leader-following control of heterogeneous discrete-time multi-agent systems with system uncertainties.
Appl. Intell., 2020

2019
A novel double-level observer-based fault estimation for Takagi-Sugeno fuzzy systems with unknown nonlinear dynamics.
Trans. Inst. Meas. Control, 2019

An Analysis of IRL-Based Optimal Tracking Control of Unknown Nonlinear Systems with Constrained Input.
Neural Process. Lett., 2019

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

A neural network-based approach for solving quantized discrete-time <i>H</i><sub>∞</sub> optimal control with input constraint over finite-horizon.
Neurocomputing, 2019

Bipartite finite-time output consensus of heterogeneous multi-agent systems by finite-time event-triggered observer.
Neurocomputing, 2019

Distributed leader-following consensus of heterogeneous second-order time-varying nonlinear multi-agent systems under directed switching topology.
Neurocomputing, 2019

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

2016
Video Supervoxels Using Partially Absorbing Random Walks.
IEEE Trans. Circuits Syst. Video Technol., 2016


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