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Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train
IEEE transactions on intelligent transportation systems (Print), 2022This paper proposes a constrain spatial adaptive iterative learning controller (CSAILC) for the displacement-speed trajectory tracking of automatic train control system with unknown parametric/nonparametric uncertainties and speed constraints. First, the
Zhenxuan Li +3 more
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Identification based adaptive iterative learning controller
Asian Journal of Control, 2010AbstractIn recent years, more research in the control field has been in the area of self‐learning and adaptable systems, such as a robot that can teach itself to improve its performance. One of the more promising algorithms for self‐learning control systems is Iterative Learning Control (ILC), which is an algorithm capable of tracking a desired ...
Suhail Ashraf +2 more
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Fuzzy Adaptive Iterative Learning Control Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Fuzzy control algorithm has a good performance in robustness, but it is difficult to achieve higher control precision. Iterative learning control can achieve higher precision with bad robustness. In this paper, a new algorithm is presented combining fuzzy control with iterative learning control.
null Yan Wang, null Yongling Fu
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IEEE Transactions on Cybernetics, 2020
In this article, an echo state network (ESN)-based backstepping adaptive iterative learning control scheme is proposed for nonlinear strict-feedback systems performing the same operation repeatedly over a finite-time interval.
Qiang Chen, Huihui Shi, Mingxuan Sun
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In this article, an echo state network (ESN)-based backstepping adaptive iterative learning control scheme is proposed for nonlinear strict-feedback systems performing the same operation repeatedly over a finite-time interval.
Qiang Chen, Huihui Shi, Mingxuan Sun
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Journal of Vibration and Control, 2023
This paper proposes an adaptive iterative learning control (ILC) scheme for nonlinear systems with iteration-varying trial lengths under external morphologically-similar disturbances, utilising inter-trial iteration and real-time correction. To attenuate
Lu Yang +3 more
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This paper proposes an adaptive iterative learning control (ILC) scheme for nonlinear systems with iteration-varying trial lengths under external morphologically-similar disturbances, utilising inter-trial iteration and real-time correction. To attenuate
Lu Yang +3 more
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Adaptive PI type iterative learning control
2010 5th IEEE International Conference Intelligent Systems, 2010Based on combination of an optimal PI type iterative learning controller and projection like adjusting algorithm, an adaptive iterative learning control scheme is presented for repetitive control of uncertain systems. This adaptive iterative learning controller is designed without any priori knowledge of system parameters.
Ali Madady, Hamid-Reza Reza-Alikhani
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IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, a distributed adaptive iterative learning control for a group of uncertain autonomous vehicles with a time-varying reference is presented, where the autonomous vehicles are underactuated with parametric uncertainties, the actuators are ...
Jiangshuai Huang, Wei Wang, Xiaojie Su
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In this article, a distributed adaptive iterative learning control for a group of uncertain autonomous vehicles with a time-varying reference is presented, where the autonomous vehicles are underactuated with parametric uncertainties, the actuators are ...
Jiangshuai Huang, Wei Wang, Xiaojie Su
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IEEE transactions on industrial electronics (1982. Print), 2021
Accurate rotor position estimation is important to ensure the high-performance operation of position sensorless permanent magnet synchronous motor (PMSM) drives.
Guangdong Bi +5 more
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Accurate rotor position estimation is important to ensure the high-performance operation of position sensorless permanent magnet synchronous motor (PMSM) drives.
Guangdong Bi +5 more
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Data-driven adaptive tuning of iterative learning control
Transactions of the Institute of Measurement and Control, 2022In this paper, we propose two data-driven adaptive tuning (DDAT) approaches of iterative learning control (ILC) for nonlinear non-affine systems. First, a compact-form iterative dynamic linearization (CFIDL) method is introduced to transfer the original nonlinear system into a linear data model.
Yingzhen Yu, Na Lin, Ronghu Chi
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IEEE transactions on semiconductor manufacturing, 2021
Model-based control methods do not produce satisfactory control results with the batch process control of Czochralski (CZ) silicon monocrystalline with complex nonlinearity, large delay, and time-varying dynamics.
Jun-Chao Ren, Ding Liu, Yin Wan
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Model-based control methods do not produce satisfactory control results with the batch process control of Czochralski (CZ) silicon monocrystalline with complex nonlinearity, large delay, and time-varying dynamics.
Jun-Chao Ren, Ding Liu, Yin Wan
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