Xiaoe Ruan
Orcid: 0000-0002-2549-7274
According to our database1,
Xiaoe Ruan
authored at least 33 papers
between 2005 and 2024.
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Bibliography
2024
Almost sure and mean square convergence of iterative learning control system with state feedback under random packet dropouts.
Int. J. Syst. Sci., August, 2024
Pseudo-model-based iterative learning control for nonlinear multi-phase batch processes.
Trans. Inst. Meas. Control, 2024
2023
IEEE Trans. Cybern., June, 2023
Learning-Ability of Discrete-Time Iterative Learning Control Systems with Feedforward.
SIAM J. Control. Optim., April, 2023
Markov parameters identification and adaptive iterative learning control for linear discrete-time MIMO systems with higher-order relative degree.
J. Frankl. Inst., 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Iterative learning fault-tolerant control for discrete-time nonlinear systems subject to stochastic actuator faults.
Trans. Inst. Meas. Control, 2022
Learning ability of iterative learning control system with a randomly varying trial length.
Int. J. Syst. Sci., 2022
Proceedings of the 17th International Conference on Control, 2022
2021
Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial state.
Int. J. Mach. Learn. Cybern., 2021
Convergence characteristics of iterative learning control for discrete-time singular systems.
Int. J. Syst. Sci., 2021
Linearly Monotonic Convergence and Robustness of P-Type Gain-Optimized Iterative Learning Control for Discrete-Time Singular Systems.
IEEE Access, 2021
2020
Adaptive iterative learning control for switched discrete-time systems with stochastic measurement noise.
Trans. Inst. Meas. Control, 2020
A joint control protocol for a class of uncertain nonlinear systems with iteration-varying trial length.
Int. J. Syst. Sci., 2020
Iterative Learning Control for Nonlinear Switched Systems With Constant Time Delay and Noise.
IEEE Access, 2020
2019
Iterative learning control for linear continuous-time switched systems with observation noise.
Trans. Inst. Meas. Control, 2019
Iterative learning control for a class of uncertain nonlinear systems with current state feedback.
Int. J. Syst. Sci., 2019
IEEE Access, 2019
Learning-Gain-Adaptive Iterative Learning Control to Linear Discrete-Time-Invariant Systems.
IEEE Access, 2019
Adaptive Iterative Learning Control of Switched Nonlinear Discrete-Time Systems With Unmodeled Dynamics.
IEEE Access, 2019
2018
Iterative learning identification and control for point-to-point tracking of linear time-varying systems with unknown parameters and stochastic noise.
Trans. Inst. Meas. Control, 2018
Synchronous-substitution-type iterative learning control for discrete-time networked control systems with Bernoulli-type stochastic packet dropouts.
IMA J. Math. Control. Inf., 2018
Convergence properties of two networked iterative learning control schemes for discrete-time systems with random packet dropout.
Int. J. Syst. Sci., 2018
2017
Reinforced gradient-type iterative learning control for discrete linear time-invariant systems with parameters uncertainties and external noises.
IMA J. Math. Control. Inf., 2017
Networked iterative learning control design for discrete-time systems with stochastic communication delay in input and output channels.
Int. J. Syst. Sci., 2017
2016
Networked iterative learning control approach for nonlinear systems with random communication delay.
Int. J. Syst. Sci., 2016
2015
Discrete-frequency convergence of iterative learning control for linear time-invariant systems with higher-order relative degree.
Int. J. Autom. Comput., 2015
2013
Convergence monotonicity and speed comparison of iterative learning control algorithms for nonlinear systems.
IMA J. Math. Control. Inf., 2013
2012
Pulse compensation for PD-type iterative learning control against initial state shift.
Int. J. Syst. Sci., 2012
2009
Convergence analysis in sense of Lebesgue-<i>p</i> norm of decentralized non-repetitive iterative learning control for linear large-scale systems.
J. Syst. Sci. Complex., 2009
2008
Decentralized Iterative Learning Control to Large-Scale Industrial Processes for Nonrepetitive Trajectory Tracking.
IEEE Trans. Syst. Man Cybern. Part A, 2008
Iterative learning controllers with time-varying gains for large-scale industrial processes to track trajectories with different magnitudes.
Int. J. Syst. Sci., 2008
2005
Iterative learning controllers for discrete-time large-scale systems to track trajectories with distinct magnitudes.
Int. J. Syst. Sci., 2005