2015
DOI: 10.1080/03081079.2015.1072524
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Model-free constrained data-driven iterative reference input tuning algorithm with experimental validation

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Cited by 16 publications
(4 citation statements)
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“…Remark 3. In the optimization-based ILC [27][28][29], the system input, output and state constraints are transformed into matrix inequality and the control law is designed by solving the constrained optimization problem. In virtue of energy-based nature, we use CEF incorporated with BLF to handle state constraints.…”
Section: B Composite Energy Functionmentioning
confidence: 99%
“…Remark 3. In the optimization-based ILC [27][28][29], the system input, output and state constraints are transformed into matrix inequality and the control law is designed by solving the constrained optimization problem. In virtue of energy-based nature, we use CEF incorporated with BLF to handle state constraints.…”
Section: B Composite Energy Functionmentioning
confidence: 99%
“…In the light of the iterative learning control (ILC) strategy can achieve the full tracking task on a time interval under certain conditions without the precise knowledge of engineering systems, this technique has received considerable attention in recent years (Amann et al, 1996;Arimoto et al, 1984;Huang et al, 2013;Liu et al, 2014;Wang et al, 2013;Yu et al, 2016) and turned into an important research field of control theory and applied successfully to practical application (Meng et al, 2014;Yu et al, 2018). So far, combining ILC method with other control methods, a series of extensions have been made, such as proportional-integral-derivative (PID)-type ILC (Huang et al, 2013;Liu et al, 2014;Wang et al, 2013), optimal ILC (Amann et al, 1996), adaptive ILC (Yu et al, 2016), and data-driven ILC (Bu et al, 2021(Bu et al, , 2022Chi et al, 2018Chi et al, , 2019Radac and Precup, 2016). However, most of the above strategies focus on one-dimensional (1D) dynamical systems involved with only one independent variable.…”
Section: Introductionmentioning
confidence: 99%
“…• which is inherently robust, since the perturbations are easily taken into account, -easy to implement both from software and hardware viewpoints, has already been successfully applied a number of times, and in many countries. See, e.g., the references in [21], [1] and the references therein, and [2], [5], [13], [14], [17], [18], [28], [29], [30], [35], [38], [40], [41], [42], [43], [45], [47], [48], [51], [53], [55], [56], [57], [62], [66], [68], [69], [70], [71], [73], [74], [75], [76], [78], . .…”
Section: Introductionmentioning
confidence: 99%