Results 31 to 40 of about 81,148 (167)
Journal of Control Science and Engineering, 2014 Iterative learning control is an intelligent control algorithm which imitates human learning process. Based on this concept, this paper discussed iterative learning control problem for a class parabolic linear distributed parameter systems with ...
Xisheng Dai +3 more
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Research on self-learning control method for aircraft engine above idle state
Advances in Mechanical Engineering, 2016 The iterative learning control for aircraft engine above idle state is studied. An approach combining the proportional integral iterative learning with the traditional proportional integral derivative controller is proposed and then this hybrid iterative
Bing Yu +3 more
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Some Controllability Aspects for Iterative Learning Control
Asian Journal of Control, 2018 AbstractSome controllability aspects for iterative learning control (ILC) are discussed. Via a batch (lifted) description of the problem a state space model of the system to be controlled is formulated in the iteration domain. This model provides insight and enables analysis of the conditions for and relationships between controllability, output ...
Patrik Leissner +2 more
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Research on Adaptive Iterative Learning Control of Air Pressure in Railway Tunnel With IOTs Data
IEEE Access, 2020 When a train enters a tunnel, the passengers in the train will feel tinnitus. The main reason is that the pressure in the tunnel enters the vehicle through the adjusting system of the train, which will cause discomfort to the passengers.
Yinjun Zhang, Jianhua Su, Mengji Chen
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Neural Network-Based Adaptive Learning Control for Robot Manipulators With Arbitrary Initial Errors
IEEE Access, 2019 In this paper, a neural network-based adaptive iterative learning control scheme is developed to solve the trajectory tracking problem for rigid robot manipulators with arbitrary initial errors.
Lingwei Wu, Qiuzhen Yan, Jianping Cai
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Density control in ITER: an iterative learning control and robust control approach
Nuclear Fusion, 2017 Plasma density control for next generation tokamaks, such as ITER, is challenging because of multiple reasons. The response of the usual gas valve actuators in future, larger fusion devices, might be too slow for feedback control. Both pellet fuelling and the use of feedforward-based control may help to solve this problem.
T. Ravensbergen +5 more
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IEEE Transactions on Automatic ControlAccurate reference tracking is essential in control tasks in a variety of applications, and, in repetitive systems, model-based Iterative Learning Control (ILC) is a standard solution that is underpinned by formal stability and convergence guarantees.
Michael Meindl +2 more
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Abstract and Applied Analysis, 2013 This paper considers the stability of high-order PID-type iterative learning control law for a class of nonlinear switched systems with state delays and arbitrary switched rules, which perform a given task repeatedly.
Xuhui Bu +3 more
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Design of a New Excitation Controller of Synchronous Generator
Gong-kuang zidonghua, 2011 In view of the problem that initial control signal is defined by experience in traditional excitation controller of synchronous generator based on iterative learning control algorithm, the paper proposed a design scheme of excitation controller of ...
HAO Xiao-hong, SHI Zhen-lei, ZHANG Ping
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Iterative learning control for performance optimisation [PDF]
2016 American Control Conference (ACC), 2016 Iterative learning control (ILC) is a popular design methodology to achieve high performance trajectory tracking of systems operating in a repetitive manner. This paper further extends the applicability of ILC by showing that ILC can solve a more general problem of optimising some system performance for which trajectory tracking is just a special case.
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