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AUTOMATICA
2007

Stability analysis of discrete-time iterative learning control systems with interval uncertainty

13 years 3 months ago
Stability analysis of discrete-time iterative learning control systems with interval uncertainty
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.
Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where AUTOMATICA
Authors Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
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