Model‐free adaptive and iterative learning composite control for subway train under actuator faults
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Publication:6190252
DOI10.1002/rnc.6447MaRDI QIDQ6190252
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Publication date: 6 February 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
D-type iterative learning controlmodel-free adaptive controlfaults-related full-form dynamic linearization data modelRBFNN algorithmsubway train control
Cites Work
- Integrating virtual reference feedback tuning into a unified closed-loop identification framework
- Robust iterative learning control for a class of nonlinear systems.
- Linear and nonlinear iterative learning control
- On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors
- Terminal iterative learning control based station stop control of a train
- Formation control for a class of nonlinear multiagent systems using model‐free adaptive iterative learning
- A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters
- Distributed Data-Driven Iterative Learning Consensus Tracking for Nonlinear Discrete-Time Multiagent Systems
- Initial shift issues on discrete-time iterative learning control with system relative degree
- State-Constrained Iterative Learning Control for a Class Of MIMO Systems
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