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Iterative Identification of Feedforward Controllers for Iterative Learning Control
IFAC Proceedings Volumes, 2009Abstract One the the main disadvantages to the standard iterative learning control (ILC) problem is that the learning filter is static and does not update based on the current iteration information. This means that while the learning control is updating the feedforward control input, the learning controller itself is not updating.
Hoday Stearns +2 more
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IEEE transactions on fuzzy systems, 2021
In this article, a new adaptive fuzzy iterative learning control (AFILC) method is proposed for the tracking control of nonlinear uncertain high-speed train (HST) operation systems that have both randomly varying iteration lengths and speed and input ...
Qiongxia Yu, Z. Hou
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In this article, a new adaptive fuzzy iterative learning control (AFILC) method is proposed for the tracking control of nonlinear uncertain high-speed train (HST) operation systems that have both randomly varying iteration lengths and speed and input ...
Qiongxia Yu, Z. Hou
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IEEE Transactions on Sustainable Energy, 2021
This paper proposes a hybrid control method based on model predictive control (MPC) and iterative learning control (ILC) for the hybrid energy storage system (HESS) in the application of islanded microgrid with photovoltaic (PV) generation.
Xibeng Zhang +3 more
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This paper proposes a hybrid control method based on model predictive control (MPC) and iterative learning control (ILC) for the hybrid energy storage system (HESS) in the application of islanded microgrid with photovoltaic (PV) generation.
Xibeng Zhang +3 more
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Iterative learning of impedance control
Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), 2003This paper proposes an iterative learning control scheme for impedance control of robotic tasks when the tool endpoint covered by soft and deformable material presses a rigid object or environment at a prescribed periodic force pattern. To this end, an iterative learning control scheme for a class of linear dynamical systems with a negative feedback ...
Pham Thuc Anh Nguyen +3 more
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Iterative Learning Control for Multiphase Batch Processes With Asynchronous Switching
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Asynchronous switching between the controller and the active subsystems in multiphase batch processes may cause the systems to be unstable around the switching instants. In view of this, an average dwell-time method-based iterative learning control (ILC)
Limin Wang +4 more
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Intermittent iterative learning control
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006In this paper we present a mathematical formulation of the problem of robust iterative learning control (ILC) design when the system is subject to data dropout. It is assumed that an ILC scheme is implemented via a networked control system (NCS) and that during the data transfer from the remote plant to the ILC controller data dropout occurs, resulting
Hyo-sung Ahn, Yangquan Chen, Kevin Moore
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IEEE transactions on industrial electronics (1982. Print), 2021
A model-free iterative learning control strategy (ILC) in nonrepetitive trajectories, applied to robotic manipulators is presented in this article. The development of this ILC controller is derived in general case for second-order nonlinear multi-input ...
C. Boudjedir, M. Bouri, D. Boukhetala
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A model-free iterative learning control strategy (ILC) in nonrepetitive trajectories, applied to robotic manipulators is presented in this article. The development of this ILC controller is derived in general case for second-order nonlinear multi-input ...
C. Boudjedir, M. Bouri, D. Boukhetala
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Iterative Learning in Ballistic Control
2007 American Control Conference, 2007In this paper, we formulate and explore the characteristics of iterative learning in ballistic control problems. The ILC theory provides a suitable framework for derivations and analysis of ballistic control under learning process. To overcome the obstacles caused by uncertain gradient and redundant control input, we incorporate extra trials into ...
Jian-Xin Xu 0001 +2 more
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Predictive Iterative Learning Control
Intelligent Automation & Soft Computing, 2003There are applications in which the control system is commanded to execute identical and repetitive tasks. These include pick-and-place robot control, moulding control, and many semiconductor processes. The iterative learning control (ILC) method first introduced by Arimoto et al. (1984) is based on the previous control history and a learning mechanism.
Sunan Huang 0001, Ser Yong Lim
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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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