Results 51 to 60 of about 475,550 (200)
Dissipative stability theory for linear repetitive processes with application in iterative learning control [PDF]
, 2009 This paper develops a new set of necessary and sufficient conditions for the stability of linear repetitive processes, based on a dissipative setting for analysis.
Paszke, Wojuech +3 more
core +6 more sources
Hybrid iterative learning control of a flexible manipulator [PDF]
, 2004 This paper presents an investigation into the development of a hybrid control scheme with iterative learning for input tracking and end-point vibration suppression of a flexible manipulator system.
Mailah, M +3 more
core
Iterative learning control for constrained linear systems [PDF]
, 2009 This paper considers iterative learning control for linear systems with convex control input constraints. First, the constrained ILC problem is formulated in a novel successive projection framework.
Chu, B., Owens, D.H.
core
Learning for Advanced Motion Control
, 2020 Iterative Learning Control (ILC) can achieve perfect tracking performance for mechatronic systems. The aim of this paper is to present an ILC design tutorial for industrial mechatronic systems.
Oomen, Tom
core +1 more source
Iterative learning control experimental results in twin-rotor device [PDF]
, 2017 This paper presents the results of applying the Iterative Learning Control algorithms to a Twin-Rotor Multiple-Input Multiple-Output System (TRMS) in order to achieve high performance in repetitive tracking of trajectories. The plant, which is similar to
Costa Castelló, Ramon +2 more
core +2 more sources
Research on Adaptive Iterative Learning Control of Air Pressure in Railway Tunnel With IOTs Data
IEEE Access, 2020 When a train enters a tunnel, the passengers in the train will feel tinnitus. The main reason is that the pressure in the tunnel enters the vehicle through the adjusting system of the train, which will cause discomfort to the passengers.
Yinjun Zhang, Jianhua Su, Mengji Chen
doaj +1 more source
Robot visual servoing with iterative learning control. [PDF]
, 2002 YesThis paper presents an iterative learning scheme for vision guided robot trajectory tracking. At first, a stability criterion for designing iterative learning controller is proposed. It can be used for a system with initial resetting error.
Jiang, Ping, Unbehauen, R.
core +1 more source
Neural Network-Based Adaptive Learning Control for Robot Manipulators With Arbitrary Initial Errors
IEEE Access, 2019 In this paper, a neural network-based adaptive iterative learning control scheme is developed to solve the trajectory tracking problem for rigid robot manipulators with arbitrary initial errors.
Lingwei Wu, Qiuzhen Yan, Jianping Cai
doaj +1 more source
Learning Control by Iterative Inversion
ICML, 2022 We propose $\textit{iterative inversion}$ -- an algorithm for learning an inverse function without input-output pairs, but only with samples from the desired output distribution and access to the forward function. The key challenge is a $\textit{distribution shift}$ between the desired outputs and the outputs of an initial random guess, and we prove ...
Leibovich, Gal +4 more
openaire +2 more sources
Robust gradient-based discrete-time iterative learning control algorithms [PDF]
, 2006 This paper considers the use of matrix models and the robustness of a gradient-based Iterative Learning Control (ILC) algorithm using both fixed learning gains and gains derived from parameter optimization.
Daley, S., Hätönen, J., Owen, D.H.
core