Journal ArticleDOI
Robust Iterative Learning Control for a Class of Nonlinear Systems
Jian-Xin Xu,Zhihua Qu +1 more
TLDR
A novel nonlinear control scheme-robust iterative learning control (RILC) is developed, which provides a general framework targeting at synthesizing learning control and robust control methods with the help of Lyapunov's direct method to handle more general classes of nonlinear uncertain systems.About:
This article is published in Automatica.The article was published on 1998-08-01. It has received 111 citations till now. The article focuses on the topics: Variable structure control & Adaptive control.read more
Citations
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Journal ArticleDOI
Iterative Learning Control: Brief Survey and Categorization
TL;DR: The iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors.
Journal ArticleDOI
Survey on iterative learning control, repetitive control, and run-to-run control
TL;DR: Three control methods—iterative learning control, repetitive control (RC), and run-to-run control (R2R)—are studied and compared and some promising fields for learning-type control are revealed.
Journal ArticleDOI
A survey on iterative learning control for nonlinear systems
TL;DR: The objectives of this article are to introduce recent development and advances in nonlinear ILC schemes, highlight their effectiveness and limitations, as well as discuss the directions for further exploration of non linear ILC.
Journal ArticleDOI
Repetitive learning control: a Lyapunov-based approach
TL;DR: A learning-based feedforward term is developed to solve a general control problem in the presence of unknown nonlinear dynamics with a known period and is utilized to achieve global asymptotic link position tracking for a robot manipulator.
Journal ArticleDOI
Brief Iterative learning control with initial rectifying action
Mingxuan Sun,Danwei Wang +1 more
TL;DR: Finite initial rectifying action is introduced in the learning algorithm and is shown effective in the improvement of tracking performance, in particular robustness with respect to variable initial shifts.
References
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Journal ArticleDOI
Variable structure systems with sliding modes
TL;DR: Design and analysis forVariable structure systems are surveyed in this paper and it is shown that advantageous properties result from changing structures according to this switching logic.
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Bettering Operation of Robots by Learning
TL;DR: A betterment process for the operation of a mechanical robot in a sense that it betters the nextoperation of a robot by using the previous operation's data is proposed.
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A discrete-time learning control algorithm for a class of linear time-invariant systems
TL;DR: It is proved that the same condition is sufficient for the global robustness of the proposed learning algorithm to state disturbances, measurement noise at the output, and reinitialization error are present at each iteration.
Journal ArticleDOI
Analysis of iterative learning control for a class of nonlinear discrete-time systems
TL;DR: An output feedback iterative learning control scheme is proposed for a class of nonlinear discrete-time systems in the presence of direct transmission from system inputs to outputs.