In this work, a new terminal iterative learning control is proposed by incorporating the sliding
mode control (SMC) to address for the system uncertainties. The learning control system …

In this paper, we consider the closed-loop model of a power system in a multi-interference
environment. For a multi-interference power system, the closed-loop identification is a …

Learning to perform perfect tracking tasks based on measurement data is desirable in the
controller design of systems operating repetitively. This motivates the present paper to seek …

Abstract Systems with fast self-learning ability, high precision, and effective vibration
attenuation play key roles in many areas including advanced manufacturing, data-storage …

Iterative learning control (ILC) is a high performance method for systems operating in a
repetitive manner, which aims to improve tracking performance by learning from previous …

Highly dynamic tasks that require large accelerations and precise tracking usually rely on
accurate models and/or high gain feedback. While kinematic optimization allows for efficient …

This chapter contributes to the convergence analysis of ILC for linear systems under general
data dropouts at both measurement and actuator sides. By using a simple compensation …

This paper presents a generalized iterative learning control (ILC) design in the frequency
domain with experimental validation. The optimal ILC learning function and robustness filter …

要約半導体・液晶製造装置は半導体や液晶ディスプレイを製造するための装置であり,
製品の高性能化, 低価格化の要求に伴い, 装置の大型化, 高速高精度化が求められている …