Automatica (Journal of IFAC)
Iterative learning control design fro uncertain dynamic systems with delaysed states
Dynamics and Control
Iterative Learning Control for Deterministic Systems
Iterative Learning Control for Deterministic Systems
Brief paper: A universal iterative learning stabilizer for a class of MIMO systems
Automatica (Journal of IFAC)
Robust adaptive controller design for nonlinear time-delay systems via T-S fuzzy approach
IEEE Transactions on Fuzzy Systems
Observer-based adaptive iterative learning control for nonlinear systems with time-varying delays
International Journal of Automation and Computing
International Journal of Automation and Computing
Iterative Learning Control: Brief Survey and Categorization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Fuzzy Systems
Robust Iterative Learning Control for a Class of Nonlinear Systems
Automatica (Journal of IFAC)
Brief Adaptive robust iterative learning control with dead zone scheme
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
International Journal of Automation and Computing
Design of a discrete-time output-feedback based repetitive-control system
International Journal of Automation and Computing
International Journal of Automation and Computing
Robust H∞ filter design for time-delay systems with saturation
International Journal of Automation and Computing
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This paper proposes a new adaptive iterative learning control approach for a class of nonlinearly parameterized systems with unknown time-varying delay and unknown control direction. By employing the parameter separation technique and signal replacement mechanism, the approach can overcome unknown time-varying parameters and unknown time-varying delay of the nonlinear systems. By incorporating a Nussbaum-type function, the proposed approach can deal with the unknown control direction of the nonlinear systems. Based on a Lyapunov-Krasovskii-like composite energy function, the convergence of tracking error sequence is achieved in the iteration domain. Finally, two simulation examples are provided to illustrate the feasibility of the proposed control method.