Design of hysteresis-compensating iterative learning control for piezo-positioners: Application to atomic force microscopes

By Kam K. Leang, Santosh Devasia. 2006

173 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Control and Systems Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/c4559940c86d3b3bc03a418fd838874de5ea3a0d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Kam K. Leang
2. Qingze Zou
3. Santosh Devasia
4. Andrew J. Fleming
5. Chun-Yi Su
6. S. O. Reza Moheimani
7. Guoying Gu
8. Limin Zhu

In Control and Systems Engineering

1. Kam K. Leang
2. Qingze Zou
3. Santosh Devasia
4. Tao Tang
5. Junfeng Du
6. Jinying Li
7. Dan Zuo
8. Yongmei Huang

In Materials Chemistry

1. Kam K. Leang
2. Qingze Zou
3. Santosh Devasia
4. Chun-Yi Su
5. Andrew J. Fleming
6. S. O. Reza Moheimani
7. Guoying Gu
8. Limin Zhu

Citations in the corpus

• Iterative Learning Control with Extended State Observer for Telescope System (2015, methodology): “Over the past three decades, it has been successfully used in extensive research fields such as industrial robotics [14], manufacturing process [15], stochastic process control system [16], and hysteretic system [17].”
• Feedback-Linearized Inverse Feedforward for Creep, Hysteresis, and Vibration Compensation in AFM Piezoactuators (2007, background): “For example, iteration-based feedforward can compensate for hysteresis [26], [27] as well as dynamic effects [28],”
• Feedforward control of piezoactuators in atomic force microscope systems (2009, methodology): “method is discussed in [22] for convergence with guaranteed convergence rates.”