Results 271 to 280 of about 303,155 (330)

Robust Adaptive Iterative Learning Control for High-Precision Attitude Tracking of Spacecraft

Journal of Aerospace Engineering, 2021
In this paper, a robust adaptive iterative learning control (ILC) scheme is developed for the high-precision attitude tracking control of spacecraft in the presence of parametric uncertaint...
Qijia Yao
semanticscholar   +1 more source

Faded Communication-Based Coordinated Model-Free Adaptive Iterative Learning Control of Multiple HSTs Against Denial-of-Service Attacks

IEEE Transactions on Automation Science and Engineering
The paper studies the faded communication-based coordinated model-free adaptive iterative learning control (MFAILC) of multiple high-speed trains (MHSTs) against periodic denial-of-service (PDoS) attacks.
Wei Yu, Deqing Huang, Hairong Dong
semanticscholar   +1 more source

Adaptive iterative learning control for high-order nonlinear systems with random initial state shifts.

ISA transactions, 2022
Aiming at the tracking problem for a class of high-order nonlinear systems with arbitrary initial state, this paper proposes different initial state shifts rectifying schemes for systems with different orders from the perspective of solving differential ...
Guojun Li, Tiantian Lu, Yishi Han, Zhijiang Xu   +3 more
semanticscholar   +1 more source

Adaptive Iterative Learning Control for Nonsquare Nonlinear Systems With Various Nonrepetitive Uncertainties: A Unified Approach

IEEE Transactions on Automatic Control
This work concerns adaptive iterative learning control (AILC) for nonsquare multiple-input--multiple-output (MIMO) nonlinear systems. With newly introduced techniques in dealing with the nonsquare input distribution matrix, a novel robust AILC (RAILC ...
Xuefang Li, Deqing Huang
semanticscholar   +1 more source

Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control

Applied Mathematics and Computation, 2020
In this paper, a distributed disturbance-compensation based model free adaptive iterative learning control (MFAILC) algorithm is proposed to achieve the consensus tracking of nonlinear multi-agent systems (MAS) with unknown disturbance.
Yingchun Wang, Haifeng Li, Xiaojie Qiu, Xiangpeng Xie   +3 more
semanticscholar   +1 more source

Vibration Suppression of a High-Rise Building With Adaptive Iterative Learning Control

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article considers the design of an adaptive iterative learning controller for high-rise buildings with active mass dampers (AMDs). High-rise buildings in this article are seen as distributed parameter systems, in which the characteristics of every ...
Jiali Feng, Zhijie Liu, Xiuyu He, Qing Li, Wei He   +4 more
semanticscholar   +1 more source

Self-learning control systems using identification-based adaptive iterative learning controller

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2008
One of the promising algorithms for self-learning control systems is iterative learning control (ILC), which is an algorithm capable of tracking a desired trajectory within a specific period of time. Conventional ILC algorithms have the problem of relatively slow convergence rate and because of their fixed control laws they are unable to adapt to ...
S Ashraf, E Muhammad, A Al-Habaibeh
openaire   +1 more source

Sampled-Data Adaptive Iterative Learning Control for Uncertain Nonlinear Systems

IEEE Transactions on Systems, Man, and Cybernetics: Systems
In the realm of data-driven adaptive iterative learning control (AILC), the emphasis in designing and analyzing control schemes mainly concentrates on discrete-time systems, while fewer results are developed for the more common continuous-time plants. To
Yu Hui, Deyuan Meng, R. Chi, Kaiquan Cai
semanticscholar   +1 more source

Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation

IEEE Transactions on Artificial Intelligence
In this article, the consensus tracking problem of neural network (NN)-based adaptive iterative learning control (AILC) scheme is investigated for the nonlinear multiagent systems (MASs) with repetitive control tasks.
Zhiqiang Li, Qi Zhou, Yang Liu, Hongru Ren, Hongyi Li   +4 more
semanticscholar   +1 more source

Adaptive iterative learning control for high‐order nonlinear systems with different types of uncertainties

International Journal of Robust and Nonlinear Control
The present work aims at investigating the adaptive iterative learning control (AILC) design for uncertain high‐order fully actuated nonlinear systems.
Xuefang Li, Yanfang Chen, Hui-jie Sun, Wanquan Liu   +3 more
semanticscholar   +1 more source