Results 1 to 10 of about 206,300 (166)
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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Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning [PDF]
Micromachines, 2019 Through combining P-type iterative learning (IL) control, model-free adaptive (MFA)control and sliding mode (SM) control, a robust model-free adaptive iterative learning (MFA-IL)control approach is presented for the active vibration control of ...
Liang Bai +3 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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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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IEEE Access, 2022 In this paper, a barrier adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun control systems under nonzero initial error condition.
Zhimin Zhou +4 more
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IEEE Access, 2023 An initial-rectification adaptive iterative learning control scheme is proposed to solve the angle tracking problem of robot manipulators with input deadzone under nonzero initial errors. Lyapunov approach is utilized to design the controller. First, the
Haibo Zhang +4 more
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IEEE Access, 2022 In this paper, a filtering-error constrained adaptive iterative learning control scheme is proposed to solve the angle tracking problem for a pneumatic artificial muscle-actuated mechanism.
Xiaohui Guan +3 more
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Iterative Learning Tracking Control of Nonlinear Multiagent Systems with Input Saturation
Complexity, 2021 A tracking control algorithm of nonlinear multiple agents with undirected communication is studied for each multiagent system affected by external interference and input saturation.
Bingyou Liu +4 more
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Adaptive Iterative Learning Control for Complex Dynamical Networks [PDF]
Mathematical Problems in Engineering, 2015 A new adaptive iterative learning control scheme is proposed for complex dynamical networks with repetitive operation over a fixed time interval. By designing difference type updating laws for unknown time-varying parameters and coupling strength, the state of each node in complex dynamical networks can track the reference signal.
Hao, Xiuqing, Li, Junmin
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IEEE Access, 2021 In this paper, a novel error-tracking adaptive iterative learning control scheme is proposed to solve trajectory-tracking problem for a class of robot manipulators with time-varying parameters and arbitrary initial errors.
Qiuzhen Yan +3 more
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