Results 271 to 280 of about 816,103 (361)

Event-Triggered Cooperative Model-Free Adaptive Iterative Learning Control for Multiple Subway Trains With Actuator Faults

IEEE Transactions on Cybernetics, 2023
This article investigates the issue of speed tracking and dynamic adjustment of headway for the repeatable multiple subway trains (MSTs) system in the case of actuator faults.
Qian Wang, S. Jin, Zhongsheng Hou
semanticscholar   +1 more source

Data-Driven Indirect Iterative Learning Control

IEEE Transactions on Cybernetics, 2023
In this work, a data-driven indirect iterative learning control (DD-iILC) is presented for a repetitive nonlinear system by taking a proportional-integral-derivative (PID) feedback control in the inner loop. A linear parametric iterative tuning algorithm
R. Chi, Huaying Li, Na Lin, B. Huang
semanticscholar   +1 more source

Iterative Learning Control for Compliant Underactuated Arms

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Operations involving safe interactions in unstructured environments require robots with adapting behaviors. Compliant manipulators are a promising technology to achieve this goal.
Michele Pierallini, Franco Angelini, Riccardo Mengacci, A. Palleschi, A. Bicchi, M. Garabini   +5 more
semanticscholar   +1 more source

Robust point‐to‐point iterative learning control for constrained systems: A minimum energy approach

International Journal of Robust and Nonlinear Control, 2022
Iterative learning control (ILC) is a high performance control scenario that is widely applied to systems that repeat a given task or operation defined over a finite duration, and has been introduced to point‐to‐point motion tasks in existing work ...
Chenhui Zhou, Hongfeng Tao, Yiyang Chen, V. Stojanovic, W. Paszke   +4 more
semanticscholar   +1 more source

Iterative Learning Control: Practical Implementation and Automation

IEEE transactions on industrial electronics (1982. Print), 2022
Iterative learning control (ILC) has been well recognized for its output tracking ability in systems that perform repetitive tasks, such as robot manipulators.
S. Saab, D. Shen, Mohamad Orabi, D. Kors, Rayana H. Jaafar   +4 more
semanticscholar   +1 more source

Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection

International Journal of Adaptive Control and Signal Processing, 2022
This article proposes an effective iterative learning control (ILC) approach based on successive projection scheme for repetitive systems with randomly varying trial lengths.
Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, V. Stojanovic, W. Paszke   +4 more
semanticscholar   +1 more source

Iterative Learning Control Algorithms and Experimental Benchmarking

, 2023
When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very confused of where getting the ideas? Do you still have no idea with what you are going to write? Now, you will need reading. A
E. Rogers, P. Lewin, C. Freeman, B. Chu
semanticscholar   +1 more source

Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
In this paper, an extended state observer-based data-driven iterative learning control [extended state observer (ESO)-based DDILC] is developed for a permanent magnet linear motor (PMLM). The PMLM is formulated mathematically by using a general nonlinear
Yu Hui, R. Chi, Biao Huang, Z. Hou
semanticscholar   +1 more source

Resilient Model-Free Adaptive Iterative Learning Control for Nonlinear Systems Under Periodic DoS Attacks via a Fading Channel

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
This article studies the resilient control problem for a class of unknown nonlinear systems with fading measurements under malicious denial-of-service (DoS) attacks.
Wei Yu, Rui Wang, Xuhui Bu, Z. Hou, Zhonghua Wu   +4 more
semanticscholar   +1 more source

Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels

IEEE Transactions on Cybernetics, 2021
This article investigates the problem of event-triggered model-free adaptive iterative learning control (MFAILC) for a class of nonlinear systems over fading channels.
Xuhui Bu, Wei Yu, Qiongxia Yu, Z. Hou, Junqi Yang   +4 more
semanticscholar   +1 more source