Aug 13, 2019 · This paper reconsiders the iterative learning control (ILC) problem for variable trial lengths via compensating output data by using an ...

Abstract—This paper reconsiders the iterative learning control (ILC) problem for variable trial lengths via compen- sating output data by using an auxiliary ...

Oct 28, 2022 · A predictive compensation-based QILC is proposed by optimizing quadratic functions, which includes an output prediction mechanism, a quantized iterative ...

Jul 28, 2023 · In this paper, an adaptive iterative learning control (ILC) design method is proposed for a class of nonlinear discrete-time system with nonaffine structure, ...

Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. Request PDF. Restricted access. IEEE Transactions on Systems, Man, and Cybernetics ...

In this work, the problems of predictive compensation, unknown nonlinearity, and nonaffine structure are considered simultaneously for a quantized iterative ...

In this paper, a feedback-aided PD-type ILC design for time-varying systems with non-uniform trial lengths is proposed.

This work explores the problem of uniform quantization of iterative learning control (ILC) for nonlinear nonaffine systems under a data‐driven design and ...

Oct 22, 2024 · Observer-based iterative learning control is developed in this paper to meet nonlinear systems with alignment condition and varying iteration lengths.

This paper reconsiders the iterative learning control (ILC) problem for variable trial lengths via compensating output data by using an auxiliary predictive ...