This paper proposes a data-driven predictive iterative learning control (DDPILC) for nonlinear nonaffine systems. First, we develop an iterative predictive ...
This paper proposes a data-driven predictive iterative learning control (DDPILC) for nonlinear nonaffine systems.
Jan 21, 2023 · This paper presents a data-driven predictive point-to-point iterative learning control scheme for a class of unknown repetitive non-affine nonlinear SISO ...
This paper proposes a data-driven predictive iterative learning control (DDPILC) for nonlinear nonaffine systems. First, we develop an iterative predictive ...
Jun 25, 2019 · In this paper, a novel data-driven predictive iterative learning control (DDPILC) scheme based on a radial basis function neural network ...
Missing: ILC | Show results with:ILC
Dec 9, 2024 · In this paper, the non-linear viscoelastic-plastic creep models in 1-D and 3-D casesare established. The new non-linear viscoelastic-plastic ...
The proposed ILC framework is effectively verified by two illustrative examples on a complicated unknown nonlinear system and on a linear time-varying system.
RBFNN-Based Data-Driven Predictive Iterative Learning Control for ...
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Data‐based analysis of iterative learning control for MIMO nonaffine nonlinear systems with multiple nonrepetitive uncertainties · Engineering, Mathematics.
Jun 1, 2022 · In this paper, we propose two data-driven adaptive tuning (DDAT) approaches of iterative learning control (ILC) for nonlinear non-affine systems.
In this paper, a novel data-driven predictive iterative learning control (DDPILC) scheme based on a radial basis function neural network (RBFNN) is proposed ...
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