Yang Liu
Orcid: 0000-0001-9402-3366Affiliations:
- Qindao University of Science and Technology, School of Automation and Electronic Engineering, China
- Guangdong University of Technology, School of Automation, Guangzhou, China (former)
- Northeastern University, College of Information Science and Engineering, Shenyang, China (PhD 2019)
- Lakehead University, Department of Electrical Engineering, Thunder Bay, ON, Canada (2016 - 2018)
- University of Science and Technology Liaoning, College of Electrons and Information Engineering, Anshan, China
According to our database1,
Yang Liu
authored at least 42 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Dynamic Event-Driven Finite-Horizon Optimal Consensus Control for Constrained Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems.
IEEE Trans. Cybern., November, 2024
Modified Quadratic Spacing Policy and Extended State Observer-Based Adaptive Platoon Tracking Scheme for Heterogeneous Vehicles.
IEEE Trans. Intell. Transp. Syst., August, 2024
Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation.
IEEE Trans. Artif. Intell., August, 2024
Adaptive Observer-Based Finite-Time Fault Tolerant Control for Non-Strict Feedback Systems.
J. Syst. Sci. Complex., August, 2024
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Adaptive Neural Preassigned-Time Control for Macro-Micro Composite Positioning Stage With Displacement Constraints.
IEEE Trans. Ind. Informatics, February, 2024
Learning-Observer-Based Adaptive Tracking Control of Multiagent Systems Using Compensation Mechanism.
IEEE Trans. Artif. Intell., January, 2024
Event-triggered finite-time fault-tolerance control and simultaneous disturbance rejection for Markov jump systems with general transition probabilities.
J. Frankl. Inst., 2024
Neurocomputing, 2024
Adaptive Output Feedback Control for Uncertain Nonlinear Systems Subject to Deferred State Constraints.
IEEE Access, 2024
2023
Guaranteeing Global Stability for Neuro-Adaptive Control of Unknown Pure-Feedback Nonaffine Systems via Barrier Functions.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Event-Triggered Tracking Control of Nonlinear Systems Under Sparse Attacks and its Application to Rigid Aircraft.
IEEE Trans. Aerosp. Electron. Syst., August, 2023
Reduced-Order Observer-Based Preassigned Finite-Time Control of Nonlinear Systems and Its Applications.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
RESO-based distributed bipartite tracking control for stochastic MASs with actuator nonlinearity.
Inf. Sci., July, 2023
Distributed Adaptive Fixed-Time Robust Platoon Control for Fully Heterogeneous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Distributed fixed-time NN tracking control of vehicular platoon systems with singularity-free.
Neural Comput. Appl., 2023
2022
Adaptive Fuzzy Control With Global Stability Guarantees for Unknown Strict-Feedback Systems Using Novel Integral Barrier Lyapunov Functions.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adaptive Approximation-Based Tracking Control for a Class of Unknown High-Order Nonlinear Systems With Unknown Powers.
IEEE Trans. Cybern., 2022
Distributed Cooperative Compound Tracking Control for a Platoon of Vehicles With Adaptive NN.
IEEE Trans. Cybern., 2022
Distributed Reinforcement Learning Containment Control for Multiple Nonholonomic Mobile Robots.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
2021
Annular Domain Finite-Time Connective Control for Large-Scale Systems With Expanding Construction.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Event-Triggered Adaptive Control Design With Prescribed Performance for Macro-Micro Composite Positioning Stage.
IEEE Trans. Ind. Electron., 2021
Neural Network-Based Distributed Adaptive Pre-Assigned Finite-Time Consensus of Multiple TCP/AQM Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Semi-globally practical finite-time stability for uncertain nonlinear systems based on dynamic surface control.
Int. J. Control, 2021
2020
Direct Adaptive Preassigned Finite-Time Control With Time-Delay and Quantized Input Using Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2020
Adaptive finite-time congestion controller design of TCP/AQM systems based on neural network and funnel control.
Neural Comput. Appl., 2020
Appl. Math. Comput., 2020
Semi-Globally Practical Finite-Time H<sub>∞</sub> Control of TCSC Model of Power Systems Based on Dynamic Surface Control.
IEEE Access, 2020
2019
A Novel Finite-Time Adaptive Fuzzy Tracking Control Scheme for Nonstrict Feedback Systems.
IEEE Trans. Fuzzy Syst., 2019
J. Syst. Sci. Complex., 2019
Study on TCP/AQM network congestion with adaptive neural network and barrier Lyapunov function.
Neurocomputing, 2019
Neurocomputing, 2019
Design of finite-time H∞ controller for uncertain nonlinear systems and its application.
Int. J. Control, 2019
Adaptive fuzzy finite-time stability of uncertain nonlinear systems based on prescribed performance.
Fuzzy Sets Syst., 2019
2018
Fixed-time almost disturbance decoupling of nonlinear time-varying systems with multiple disturbances and dead-zone input.
Inf. Sci., 2018
Adaptive neural networks finite-time tracking control for non-strict feedback systems via prescribed performance.
Inf. Sci., 2018
Int. J. Syst. Sci., 2018
2017
Adaptive neural network decentralized stabilization for nonlinear large scale interconnected systems with expanding construction.
J. Frankl. Inst., 2017
Decentralized connective stabilization of complex large-scale systems with expanding construction employing reduced-order observers: Dedicated to Prof. Dragislav D. Siljak, the grandmaster of complex large-scale systems.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
2014
Adaptive dynamic programming for discrete-time LQR optimal tracking control problems with unknown dynamics.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014