An adaptive iterative learning control algorithm with experiments on an industrial robot

By Mikael Norrlöf. 2002

286 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering

How researchers see this paper

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

In Biomedical Engineering

1. Jens Kober
2. J. Bagnell
3. Jan Peters
4. Tao Tang
5. Junfeng Du
6. Jinying Li
7. Jian-xin Xu
8. Dan Zuo

In Control and Systems Engineering

1. Jens Kober
2. Jan Peters
3. J. Bagnell
4. Sergey Levine
5. Pieter Abbeel
6. Tao Tang
7. E. Rogers
8. K. Gałkowski

In Mechanical Engineering

1. Tao Tang
2. Jan Peters
3. Jens Kober
4. J. Bagnell
5. Junfeng Du
6. Jinying Li
7. Jian-xin Xu
8. Dan Zuo

Citations in the corpus

• Reinforcement learning in robotics: A survey (2013, positive): “More recently, variations on the iterative learning control has been employed to learn robot control (Norrlöf, 2002; Bukkems et al., 2005), steering a RC car with a general analysis of approximate models for policy search in Abbeel et al.”
• A survey of iterative learning control (2006, unknown): “ILC has been successfully applied to industrial robots [5]–[9], computer numerical control (CNC) machine tools [10], wafer stage motion systems [11], injection-molding machines [12], [13], aluminum extruders [14], cold rolling mills [15], induction motors [16], chain conveyor systems [17], camless e”
• Iterative Learning Control: Brief Survey and Categorization (2007, unknown): “with Kalman filter [295]; impedance matching in robotics [30], [44], [289], [436];”
• Experimentally verified generalized KYP Lemma based iterative learning control design (2016, background): “Applications areas include industrial robotics, see, e.g., (Longman, 2000; Norrlöf, 2002), where the pick and place operation common in IThis work is partially supported by National Science Centre in Poland, grant No. 2014/15/B/ST7/03208 ∗Corresponding author Email addresses:…”
• A survey on iterative learning control for nonlinear systems (2011, background): “…Wen 1999; Moore and Xu 2000; Xu and Tan 2003; Bristow, Tharayil, and Allyne 2006; Ahn, Moore, and Chen 2007), and to a certain extent applied in practice (Arimoto, Kawamura, and Miyazaki 1984; Longman 2000; Mezghani et al. 2002; Norrlo¨f 2002; Yang, Lee, Ahn, and Lee 2003; Xu, Panda, and Lee 2009).”
• 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].”