Model-based iterative learning control with a quadratic criterion for time-varying linear systems
By Jay H. Lee, K. Lee, Won C. Kim. at - Automatisierungstechnik, 2000
453 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/f4ff816ec62a9fd8a3b75fef172053c6c597820c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Andrew G. Alleyne
- Marina Tharayil
- Douglas A. Bristow
- Tao Liu
- Xue Zhong Wang
- Junghui Chen
- Donghua Zhou
- Samer Said Saab Jr.
In Mechanical Engineering
- Andrew G. Alleyne
- Marina Tharayil
- Douglas A. Bristow
- Tao Liu
- Samer Said Saab Jr.
- Xue Zhong Wang
- Junghui Chen
- Furong Gao
Citations in the corpus
- Iterative learning control, with applications to a wafer-stage (2004, methodology): “Once ILC had been established as a feedback technique many ILC design methods based on previously existing feedback theory were presented [98] including robust control designs [49][50][51] [66][71][59][73][93][99][96] and optimal control designs [39][112][33][34][32][120] for nonlinear systems [68][”
- Iterative Learning Control: Brief Survey and Categorization (2007, unknown): “[235]; and 940 numerical optimization [267].”
- An adaptive iterative learning control algorithm with experiments on an industrial robot (2002, result): “This has been studied in for example [3], [12]–[15], and [10] but, in contrast to most of the approaches in the literature, the term containing uk uk 1 is not included in the criteria here.”
- A stochastic iterative learning control algorithm with application to an induction motor (2004, methodology): “In Lee et al. (2000) an ILC algorithm is developed, also based on a International Journal of Control ISSN 0020–7179 print/ISSN 1366–5820 online # 2004 Taylor & Francis Ltd http://www.tandf.co.uk/journals DOI: 10.1080/00207170310001646282 Received 1 July 2003.”
- Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework (2016, unknown): “In [9], a model-based ILC has been proposed.”
- Robust PID based indirect-type iterative learning control for batch processes with time-varying uncertainties (2014, methodology): “A quadratic criterion was pr e ented to analyze the ILC convergence in terms of a MPC structure for time-varying li ear systems [27].”
- Iterative learning reliable control of batch processes with sensor faults (2008, background): “In Lee et al. (2000), a quadratic-criterion-based ILC was proposed to deal with this problem.”
- A survey of iterative learning control (2006, methodology): “Some researchers consider algorithms with linear time-varying (LTV) functions [42], [46], [47], nonlinear functions [37], and iteration-varying functions [1], [48].”
- Stochastic P-type/D-type iterative learning control algorithms (2003, methodology): “Lately, in Lee et al. (2000) an ILC algorithm is developed, also based on a quadratic performance criterion, is generalized for time-varying linear constrained systems with deterministic and stochastic disturbances.”