Many practical systems that run repeatedly have varying ranges or lengths of run time in each iteration (Nahrstaedt et al. 2008; Longman and Mombaur 2006; Seel et al. 2016; Freeman et al. 2010; Freeman 2014; Zhu and Wang 2018; Guth et al. 2013). For instance, in treating the drop foot patients (Nahrstaedt et al. 2008; Longman and Mombaur 2006; Seel et al. 2016; Freeman et al. 2010; Freeman 2014; Zhu and Wang 2018) with functional electrical stimulation, the electrical stimulation must be stopped when the patient feels uncomfortable. In a crane control system (Guth et al. 2013) for trajectory tracking, when the load is approaching the obstacle, the rope is wound up to ensure that the load does not touch the obstacle. Because the position of the obstacle is different, the operation time is also different in different runs.
Data-Driven ILC for Systems with Varying Trial Lengths
Intelligent Control & Learning Systems
Data-Driven Iterative Learning Control for Discrete-Time Systems ; Chapter : 6 ; 97-113
2022-11-16
17 pages
Article/Chapter (Book)
Electronic Resource
English
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