Yuling Liang

发表

A neural network-based approach for solving quantized discrete-time H∞ optimal control with input constraint over finite-horizon

Huaguang Zhang, Yuliang Cai, Yuling Liang, 2019, Neurocomputing.

Nonzero-sum differential games of continuous-Time nonlinear systems with uniformly ultimately ε-bounded by adaptive dynamic programming

Huaguang Zhang, Hanguang Su, Yuling Liang, 2022, Appl. Math. Comput..

Robust reliable H∞ optimization control for uncertain discrete‐time Takagi–Sugeno fuzzy systems with time‐varying delay

Huaguang Zhang, Hanguang Su, Yuling Liang, 2021, Optimal Control Applications and Methods.

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

Yanhong Luo, Juan Zhang, Yuling Liang, 2021, Appl. Math. Comput..

Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays

Huaguang Zhang, He Jiang, Geyang Xiao, 2018, Neural Computing and Applications.

An Analysis of IRL-Based Optimal Tracking Control of Unknown Nonlinear Systems with Constrained Input

Huaguang Zhang, Yuling Liang, Chong Liu, 2019, Neural Processing Letters.

Reduced-order observer-based robust leader-following control of heterogeneous discrete-time multi-agent systems with system uncertainties

Huaguang Zhang, Yuliang Cai, Yuling Liang, 2020, Applied Intelligence.

Bipartite finite-time output consensus of heterogeneous multi-agent systems by finite-time event-triggered observer

Huaguang Zhang, Jie Duan, Yuliang Cai, 2019, Neurocomputing.

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

Kun Zhang, Huaguang Zhang, Yuliang Cai, 2019, Neurocomputing.

Adaptive Bipartite Output Tracking Consensus in Switching Networks of Heterogeneous Linear Multiagent Systems Based on Edge Events

Huaguang Zhang, Juan Zhang, Yuling Liang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm

Huaguang Zhang, Chong Liu, Hanguang Su, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Event-triggered reinforcement learning H∞ control design for constrained-input nonlinear systems subject to actuator failures

Huaguang Zhang, Jie Duan, Shaoxin Sun, 2021, Inf. Sci..

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

Yunfei Mu, Huaguang Zhang, Hanguang Su, 2019, Neurocomputing.

Online adaptive controller design of partially unknown nonlinear systems with state time-delay via actor-critic architecture

Huaguang Zhang, Shaoxin Sun, He Jiang, 2017, 2017 Chinese Automation Congress (CAC).

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

Kun Zhang, Huaguang Zhang, Yinlei Wen, 2020, Neurocomputing.

A novel neural network discrete‐time optimal control design for nonlinear time‐delay systems using adaptive critic designs

Kun Zhang, Huaguang Zhang, Rui Wang, 2020, Optimal Control Applications and Methods.

A learning-based approach to event-triggered guaranteed cost control for completely unknown nonlinear systems

Hanguang Su, Yuling Liang, Xiaohong Cui, 2023, Transactions of the Institute of Measurement and Control.