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Stability analysis of discrete-time iterative learning control systems with interval uncertainty
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- Authors
- Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen
- Issue Date
- 2007-05
- Citation
- Automatica, v.43, no.5, pp.892-902
- ISSN
- 0005-1098
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Abstract
- This paper presents a stability analysis of the iterative learning control (ILC) problem for discrete-time systems when the plant Markov parameters are subject to interval uncertainty. Using the so-called super-vector approach to ILC, vertex impulse response matrices are employed to develop sufficient conditions for both asymptotic stability and monotonic convergence of the ILC process. It is shown that the stability of such interval ILC systems can be determined by checking the stability of the system using only the vertex points of the interval Markov parameters. © 2007 Elsevier Ltd. All rights reserved.
- KSP Keywords
- Asymptotic Stability, Control systems, Interval uncertainty, Iterative learning control, Markov parameters, Monotonic convergence, Stability analysis, Sufficient conditions, Vector approach, discrete-time systems, impulse response