Ao Liu

Orcid: 0009-0007-3572-901X

Affiliations:
  • Beijing University of Technology, Beijing Institute of Artificial Intelligence, Faculty of Information Technology, Beijing Laboratory of Smart Environmental Protection, China


According to our database1, Ao Liu authored at least 14 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Accelerated Intelligent Critic Tracking Predictive Control With Data Experience Replay for Unknown Nonlinear Systems.
IEEE Trans. Cybern., March, 2026

Static and Dynamic Event-Triggered Control for Disturbed Interconnected Systems Through Adaptive Critic Designs.
IEEE Trans. Syst. Man Cybern. Syst., February, 2026

Incremental Critic Learning Control With Policy Transfer for Wastewater Treatment Processes.
IEEE Trans. Ind. Informatics, January, 2026

Evolution-Guided Q-Learning for Optimal Regulation of Unknown Continuous-Time Systems.
IEEE Trans Autom. Sci. Eng., 2026

2025
Model-Free Neuro-Fuzzy Q-Learning Control With Swarm Intelligence.
IEEE Trans. Fuzzy Syst., September, 2025

Relaxed Optimal Control With Self-Learning Horizon for Discrete-Time Stochastic Dynamics.
IEEE Trans. Cybern., March, 2025

Swarm-intelligence-based value iteration for optimal regulation of continuous-time nonlinear systems.
Swarm Evol. Comput., 2025

Temporal difference learning with multi-step returns for intelligent optimal control of dynamic systems.
Neurocomputing, 2025

Adjustable behavior-guided adaptive dynamic programming for neural learning control.
Neurocomputing, 2025

2024
A model-free deep integral policy iteration structure for robust control of uncertain systems.
Int. J. Syst. Sci., June, 2024

Decentralized Optimal Neurocontroller Design for Mismatched Interconnected Systems via Integral Policy Iteration.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Neural critic learning with accelerated value iteration for nonlinear model predictive control.
Neural Networks, 2024

Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee.
Neurocomputing, 2024

Supplementary heuristic dynamic programming for wastewater treatment process control.
Expert Syst. Appl., 2024


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