Results 11 to 20 of about 816,103 (361)
Constrained Output Iterative Learning Control [PDF]
Archives of Control Sciences, 2020 Iterative Learning Control (ILC) is a well-known method for control of systems performing repetitive jobs with high precision. This paper presents Constrained Output ILC (COILC) for non-linear state space constrained systems.
Kaloyan, Yovchev +2 more
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Payload-adaptive iterative learning control for robotic manipulators [PDF]
Mechanical Sciences, 2022 The main purpose of the iterative learning control (ILC) method is to reduce the trajectory tracking error caused by an inaccurate model of the robot's dynamics.
K. Yovchev, L. Miteva
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Dynamic Output-Only Iterative Learning Control Design
IEEE Access, 2021 Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the ...
Lukasz Hladowski +2 more
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On the convergence of iterative learning control [PDF]
Automatica, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Mahdi Ghazaei Ardakani +2 more
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 In practical applications of iterative learning control (ILC), the repetitive process may end up early by accident during the performance improvement along the trial axis, which yields the nonuniform trial length problem.
Zhihe Zhuang +4 more
semanticscholar +1 more source
Learning Control by Iterative Inversion
CoRR, 2022 We propose $\textit{iterative inversion}$ -- an algorithm for learning an inverse function without input-output pairs, but only with samples from the desired output distribution and access to the forward function. The key challenge is a $\textit{distribution shift}$ between the desired outputs and the outputs of an initial random guess, and we prove ...
Leibovich, Gal +4 more
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Adaptive iterative learning control with trajectory shift
Xi'an Gongcheng Daxue xuebao, 2022 In order to solve the problem of trajectory shift in iterative learning control, an adaptive iterative learning control strategy was proposed. For linear time-varying systems with unknown parameters, an adaptive parameter updating algorithm was ...
WANG Shouqin, HE Xingshi, GENG Yan
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Mathematics, 2022 An adaptive fuzzy iterative learning control (ILC) algorithm is designed for the iterative variable reference trajectory problem of nonlinear discrete-time systems with input saturations and unknown control directions.
Qing-Yuan Xu +5 more
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On the Effectiveness of Iterative Learning Control
CoRR, 2021 Submitted to L4DC ...
Anirudh Vemula +3 more
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Zhongguo Jianchuan Yanjiu, 2022 ObjectiveIn order to realize the precise control of a certain type of electro-hydraulic position servo system, a feedback-feedforward variable gain iterative learning method is proposed. MethodFirst, the simplified model of the electro-hydraulic position
Xuan LIU +4 more
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