Results 291 to 300 of about 303,155 (330)

Adaptive Iterative Learning Control design for RUPERT IV

2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, 2008
An adaptive robot control strategy combining PID-based feedback and Iterative Learning Controller (ILC) is proposed for performing passive reaching tasks for RUPERTtrade (Robotic Upper Extremity Repetitive Therapy), a pneumatic muscle driven rehabilitation robotic device.
null Ruihua Wei, Sivakumar Balasubramanian, null Lihong Xu, null Jiping He   +3 more
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Adaptive iterative learning control based on characteristic model

2013 25th Chinese Control and Decision Conference (CCDC), 2013
Modeling the real system is difficult, in order to solve this problem, a method called characteristic modeling is used to solve a class of nonlinear system. A least squares iterative identification method with variant forgetting factors are used to obtain the unknown parameters in the model, this method is able to reduce the identification error.
Qiuxia Huang, Xiongxiong He, Dapeng Li
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Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
This paper proposes a distributed model free adaptive iterative learning control (MFAILC) method for a class of unknown nonlinear multiagent systems to perform consensus tracking.
Xuhui Bu, Qiongxia Yu, Z. Hou, W. Qian
semanticscholar   +1 more source

A Model Reference Adaptive Iterative Learning Control System

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006
We consider the iterative learning control problem from an adaptive control viewpoint. The MRAILCS (model reference adaptive iterative learning control systems) problem is formulated in a general case, when the underlying repetitive system is possibly MIMO (multi input multi output), its parameters and initial conditions are all unknown, and also the ...
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Discrete-Time Adaptive Iterative Learning Control

2022
Ronghu Chi, Na Lin, Huimin Zhang, Ruikun Zhang   +3 more
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Iterative Learning Control algorithm with self-adaptive steps

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012
Most Iterative Learning Control (ILC) algorithms being used currently still follow the essence of the original idea of Arimoto, in which the control error with its derivative and integral are composed to deduce the iterative-learning-rate. Although these ILCs gain a wide range of successful applications in various control fields, they are still with ...
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Iterative Learning Adaptive Control With Completely Unknown States

International Journal of Robust and Nonlinear Control
ABSTRACTThis paper is dedicated to iterative learning control for nonlinear systems with completely unknown states and time‐iteration‐varying parameter uncertainties. The unknown states cover unknown iteration‐varying initial states and system operational states. The uncertainties are converted to a scalar without requiring an iterative sequence.
Zihao Wang, Jie Shen, Liwei Li, Mouquan Shen, Xianji Meng   +4 more
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A novel adaptive iterative learning control approach and human-in-the-loop control pattern for lower limb rehabilitation robot in disturbances environment

Autonomous Robots, 2021
Zhongbo Sun, Feng Li, Xiao-jun Duan, Long Jin, Yufeng Lian, Shuaishi Liu, Keping Liu   +6 more
semanticscholar   +1 more source

Model-free Adaptive Iterative Learning Control for Nonlinear Systems With Time-varying Constraints

International Journal of Control, Automation and Systems
Yan Wei, Yong-Qi Zhang, Zi-Yuan Dong, Lin-Lin Ou, Xinyi Yu   +4 more
semanticscholar   +1 more source

Selected Topics of Adaptive and Iterative Learning Control

Moderne Regelungssysteme nutzen das Modellwissen der ihnen zugrundeliegenden Prozesse um zunehmend komplexere Automatisierungsaufgaben zu lösen. Diese Komplexität und die unvermeidbaren Unsicherheiten erfordern jedoch eine Kombination von adaptiven und lernenden Methoden mit traditionellen modellbasierten Ansätzen, um die Leistung komplexer ...
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