Yang Liu

Orcid: 0000-0003-0692-2578

Affiliations:
  • Shenyang University of Technology, School of Electrical Engineering, Shenyang, China
  • Northeastern University, College of Information Science and Engineering, Shenyang, China (PhD 2018)


According to our database1, Yang Liu authored at least 11 papers between 2016 and 2021.

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

Timeline

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Bibliography

2021
Stochastic Stabilization for Discrete-Time Markovian Jump Systems With Time-Varying Delay and Two Markov Chains Under Partly Known Transition Probabilities.
IEEE Access, 2021

2020
Value Iteration-Based H<sub>∞</sub> Controller Design for Continuous-Time Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Data-Based Adaptive Dynamic Programming for a Class of Discrete-Time Systems With Multiple Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020

H<sub>∞</sub> Tracking Control of Discrete-Time System With Delays via Data-Based Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2020

H<sub>∞</sub> Control for a Class of Discrete-Time Systems via Data-Based Policy Iteration With Application to Wind Turbine Control.
IEEE Access, 2020

Sliding Mode Control of One-Sided Lipschitz Nonlinear Markovian Jump Systems With Partially Unknown Transition Rates.
IEEE Access, 2020

2018
Data-driven optimal tracking control for discrete-time systems with delays using adaptive dynamic programming.
J. Frankl. Inst., 2018

Synchronization criterion of complex networks with time-delay under mixed topologies.
Neurocomputing, 2018

Neural network-based H<sub>∞</sub> sliding mode control for nonlinear systems with actuator faults and unmatched disturbances.
Neurocomputing, 2018

2017
Neural-network-based control scheme for a class of nonlinear systems with actuator faults via data-driven reinforcement learning method.
Neurocomputing, 2017

2016
ADP based optimal tracking control for a class of linear discrete-time system with multiple delays.
J. Frankl. Inst., 2016


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