A survey on iterative learning control for nonlinear systems
By Jian-xin Xu. International Journal of Control, 2011
420 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/eb7f1a691a087dcc6aadd46e0c4b32a8312ba1f2
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In Biomedical Engineering
In Control and Systems Engineering
Citations in the corpus
- Robust iterative learning control for systems with norm‐bounded uncertainties (2016, background): “For the latter class, there are mainly three types of unstructured uncertainties [12]: (1) the uncertainty itself is norm-bounded by a known function .”
- Data-Based Techniques Focused on Modern Industry: An Overview (2015, background): “Recent developments and comprehensive comparisons with standard control strategies can be found in [15] and [16].”
- Robust higher-order ILC for non-linear discrete-time systems with varying trail lengths and random initial state shifts (2017, background): “Assumption 2 [2]: The non-linear function f ⋅ , ⋅ in (1) is assumed to be differentiable to t, and to be globally Lipschitz in the first variable, i.”