A survey of iterative learning control
DA Bristow, M Tharayil… - IEEE control systems …, 2006 - ieeexplore.ieee.org
This article surveyed the major results in iterative learning control (ILC) analysis and design
over the past two decades. Problems in stability, performance, learning transient behavior …
over the past two decades. Problems in stability, performance, learning transient behavior …
A norm optimal approach to time-varying ILC with application to a multi-axis robotic testbed
In this paper, we focus on improving performance and robustness in precision motion control
(PMC) of multi-axis systems through the use of iterative learning control (ILC). A norm …
(PMC) of multi-axis systems through the use of iterative learning control (ILC). A norm …
Batch-to-batch rational feedforward control: from iterative learning to identification approaches, with application to a wafer stage
L Blanken, F Boeren, D Bruijnen… - … /ASME Transactions on …, 2016 - ieeexplore.ieee.org
Feedforward control enables high performance for industrial motion systems that perform
nonrepeating motion tasks. Recently, learning techniques have been proposed that improve …
nonrepeating motion tasks. Recently, learning techniques have been proposed that improve …
Using basis functions in iterative learning control: analysis and design theory
J van de Wijdeven, OH Bosgra - International Journal of Control, 2010 - Taylor & Francis
In this article, we discuss iterative learning control (ILC) for systems with input/output (i/o)
basis functions. First, we show that various different ILC formulations in the literature can be …
basis functions. First, we show that various different ILC formulations in the literature can be …
Iterative learning fault-tolerant control for batch processes
This paper develops an iterative learning reliable control (ILRC) scheme for batch processes
with unknown disturbances and actuator faults. To develop the iterative learning control …
with unknown disturbances and actuator faults. To develop the iterative learning control …
Adaptive repetitive control for a class of nonlinearly parametrized systems
M Sun, SS Ge - IEEE Transactions on automatic control, 2006 - ieeexplore.ieee.org
In this note, Lyapunov-based adaptive repetitive control is presented for a class of
nonlinearly parametrized systems. Through the use of an integral Lyapunov function, the …
nonlinearly parametrized systems. Through the use of an integral Lyapunov function, the …
IMC-based iterative learning control for batch processes with uncertain time delay
Based on the internal model control (IMC) structure, an iterative learning control (ILC)
scheme is proposed for batch processes with model uncertainties including time delay …
scheme is proposed for batch processes with model uncertainties including time delay …
Iterative learning control for uncertain systems: Robust monotonic convergence analysis
J Van de Wijdeven, T Donkers, O Bosgra - Automatica, 2009 - Elsevier
In this paper, we present a novel Robust Monotonic Convergence (RMC) analysis approach
for finite time interval Iterative Learning Control (ILC) for uncertain systems. For that purpose …
for finite time interval Iterative Learning Control (ILC) for uncertain systems. For that purpose …
Robust delay dependent iterative learning fault-tolerant control for batch processes with state delay and actuator failures
Based on a two-dimensional (2D) Fornasini–Marchsini system description of a batch
process in industry, a robust state feedback integrated with an iterative learning reliable …
process in industry, a robust state feedback integrated with an iterative learning reliable …
Frequency-domain analysis of robust monotonic convergence of norm-optimal iterative learning control
In this paper, we consider the norm-optimal iterative learning control (NO-ILC) framework
and study its robust monotonic convergence (RMC) against model uncertainties in single …
and study its robust monotonic convergence (RMC) against model uncertainties in single …