✦ LIBER ✦

Spatial-based iterative learning control for motion control applications

✍ Scribed by Kevin L. Moore; Mohua Ghosh; Yang Quan Chen

Publisher: Springer Netherlands
Year: 2007
Tongue: English
Weight: 377 KB
Volume: 42
Category: Article
ISSN: 0025-6455
DOI: 10.1007/s11012-006-9035-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Adaptive iterative learning control for

Adaptive iterative learning control for robot manipulators

✍ Abdelhamid Tayebi 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 440 KB

Iterative learning control design for Sm

Iterative learning control design for Smith predictor

✍ Qiuping Hu; Jian-Xin Xu; Tong Heng Lee 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 126 KB

The Smith predictor has been used to improve the closed-loop performance for systems with time delays. This paper proposes a frequency-domain method to design an iterative learning control to further improve the performance of Smith predictor controller. For a time-invariant plant with multiplicativ

Terminal iterative learning control with

Terminal iterative learning control with an application to RTPCVD thickness control

✍ Jian-Xin Xu; Yangquan Chen; Tong Heng Lee; Shigehiko Yamamoto 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 227 KB

A special type of iterative learning control (ILC) problem is considered. Due to the insu$cient measurement capability in many real control problems such as Rapid Thermal Processing (RTP), it may happen that only the terminal output tracking error instead of the whole output trajectory tracking erro

Model and experience-based initial input

Model and experience-based initial input construction for iterative learning control

✍ C. T. Freeman; M. A. Alsubaie; Z. Cai; E. Rogers; P. L. Lewin 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 221 KB 👁 2 views

An iterative learning control law for dy

An iterative learning control law for dynamical systems

✍ Toshiharu Sugie; Toshiro Ono 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 353 KB

This paper is concerned with an iterative learning control law which enables us to find a control input that generates the desired output exactly over a finite time interval through the repetition of trials. We derive a sufficient condition for nonlinear systems to achieve the desired output by the

IMC-based iterative learning control for

IMC-based iterative learning control for batch processes with uncertain time delay

✍ Tao Liu; Furong Gao; Youqing Wang 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 820 KB

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 mismatch. An important merit is that the IMC design for the initial run of the proposed control scheme is independent of the s