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Iterative learning control with iteration-domain adaptive feedforward compensation
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004This paper considers the iteration-wise sinusoidal disturbance with a known period but with unknown amplitude and unknown phase in iterative learning control (ILC) applications. An adaptive feedforward compensation (AFC) scheme in the iteration domain is presented to effectively cancel the sinusoidal disturbance. This is an example of using an internal
null YangQuan Chen, K.L. Moore
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IEEE transactions on intelligent transportation systems (Print), 2021
In this paper, a new adaptive iterative learning control method (AILC) is presented for speed and position tracking of a subway train using multiple-point-mass dynamic model.
Genfeng Liu, Z. Hou
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In this paper, a new adaptive iterative learning control method (AILC) is presented for speed and position tracking of a subway train using multiple-point-mass dynamic model.
Genfeng Liu, Z. Hou
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Iterative Learning Based Adaptive Traffic Signal Control
Journal of Transportation Systems Engineering and Information Technology, 2010Abstract Iterative learning control (ILC), as a branch of data-driven control, has obtained plentiful achievements both in theoretical research and practical application over the past two decades. Taking the traffic signal control system as a plant system, the paper introduces the idea of the ILC and fuzzy logic to design an adaptive data-driven ...
Yichen ZHENG, Yi ZHANG, Jianming HU
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Adaptive iterative learning control for MEMS gyroscope
Proceedings of the 33rd Chinese Control Conference, 2014This paper proposes a framework, namely adaptive iterative learning control (AILC) which is used in the control of Microelectromechanical systems (MEMS) gyroscopes, to realize the high-precision trajectory tracking control. According to the characteristics of MEMS gyroscope's model, the proposed AILC algorithm includes adaptive law of parametric ...
Xiaochun Lu, Juntao Fei
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IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, an adaptive iterative learning control scheme is presented for a class of nonlinear parametric strict-feedback systems with unknown state delays, aiming to achieve the point-wise tracking of desired trajectory in a finite interval.
Yong Chen +3 more
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In this article, an adaptive iterative learning control scheme is presented for a class of nonlinear parametric strict-feedback systems with unknown state delays, aiming to achieve the point-wise tracking of desired trajectory in a finite interval.
Yong Chen +3 more
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Data-driven adaptive iterative learning predictive control
2017 6th Data Driven Control and Learning Systems (DDCLS), 2017A new data-driven predictive iterative learning control(ILC) is proposed for same category discrete nonlinear systems in this work. The controller design only depends on the input/output data of the system and does not need explicit mathematical model.
Yunkai Lv, Ronghu Chi
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MODEL REFERENCE PARAMETRIC ADAPTIVE ITERATIVE LEARNING CONTROL
IFAC Proceedings Volumes, 2002Abstract Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper.
H. Yu, M. Deng, T.C. Yang, D.H. Owens
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Adaptive iterative learning control
IEE Colloquium on Adaptive Control, 1996Describes the basic ideas underpinning the notion of iterative learning control (ILC) for systems where the experimental set-up permits the use of repetition to enable the controller to increase its accuracy in tracking of a specified set-point signal r(t).
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Adaptive iterative learning control for robot manipulators
2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2010In this paper, a new self adaptive iterative learning PD control(ILC-PD) scheme is proposed for trajectory tracking of robot manipulators with unknown parameters and performing repetitive tasks. This proposed control scheme is based upon a proportional-derivative(PD) feedback structure, for which an iterative term is added to cope with the unknown ...
Xiao-gang Jia, Zhi-ye Yuan
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IEEE Transactions on Automation Science and Engineering
A model free adaptive iterative learning control based fault-tolerant control (MFAILC-FTC) scheme for subway train speed tracking with speed sensor fault and over-speed protection is proposed.
Jianmin Zheng, Zhongsheng Hou
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A model free adaptive iterative learning control based fault-tolerant control (MFAILC-FTC) scheme for subway train speed tracking with speed sensor fault and over-speed protection is proposed.
Jianmin Zheng, Zhongsheng Hou
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