Results 291 to 300 of about 816,103 (361)
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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
semanticscholar +1 more source
IEEE/CAA Journal of Automatica Sinica, 2021
This paper aims to solve the robust iterative learning control (ILC) problems for nonlinear time-varying systems in the presence of nonrepetitive uncertainties.
De-yuan Meng, Jingyao Zhang
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This paper aims to solve the robust iterative learning control (ILC) problems for nonlinear time-varying systems in the presence of nonrepetitive uncertainties.
De-yuan Meng, Jingyao Zhang
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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
semanticscholar +1 more source
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
semanticscholar +1 more source
Parameter optimisation in iterative learning control
2003 European Control Conference (ECC), 2003In this paper parameter optimization through a quadratic performance index is introduced as a method to establish a new iterative learning control law. With this new algorithm, monotonic convergence of the error to zero is guaranteed if the original system is a discrete-time LTI system and it satisfies a positivity condition.
David H. Owens 0001, K. Feng
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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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An iterative learning controller for nonholonomic robots
Proceedings of IEEE International Conference on Robotics and Automation, 2002We present an iterative learning controller for nonholonomic systems in chained form. The learning algorithm relies on the fact that chained-form systems are linear under piecewise-constant inputs. The proposed control scheme requires the execution of a small number of experiments in order to drive the system to the desired state in finite time, with ...
ORIOLO, Giuseppe +2 more
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Neural-network-based iterative learning control of nonlinear systems
ISA Transactions, 2020This work reports on a novel approach to effective design of iterative learning control of repetitive nonlinear processes based on artificial neural networks.
Krzysztof Patan, Maciej Patan
exaly +2 more sources
IEEE transactions on intelligent transportation systems (Print)
The autonomous and security are the crucial requirements in fields of the polar transportation. This paper proposes a newly iterative learning control framework for the autonomous surface vessels (ASV) to implement the path-following operation in the ice
Guoqing Zhang +4 more
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The autonomous and security are the crucial requirements in fields of the polar transportation. This paper proposes a newly iterative learning control framework for the autonomous surface vessels (ASV) to implement the path-following operation in the ice
Guoqing Zhang +4 more
semanticscholar +1 more source
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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Transactions of the Institute of Measurement and Control
In practical applications, due to the limited communication bandwidth, the network control systems (NCSs) are prone to data dropouts when the load is high.
Yujuan Tao +4 more
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In practical applications, due to the limited communication bandwidth, the network control systems (NCSs) are prone to data dropouts when the load is high.
Yujuan Tao +4 more
semanticscholar +1 more source