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Conference Paper
LMI Approach to Iterative Learning Control Design
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- Authors
- Hyo Sung Ahn, Kevin L. Moore, Yang Quan Chen
- Issue Date
- 2006-07
- Citation
- Proc. of the IEEE 2006 Mountain Workshop on Adaptive and Learning Systems, pp.72-77
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper uses linear matrix inequalities to design iterative learning controller gains. Comparisons are made between Arimoto-style gains, causal gains, and non-causal gains, using the supervector approach. The results show that linear time-varying gains have better performance than linear time invariant gains and non-causal terms make the system more stable in the sense of monotonic convergence. © 2006 IEEE.
- KSP Keywords
- Control design, LMI approach, Linear Matrix Inequalities(LMIs), Linear Time Invariant(LTI), Linear time-varying, Matrix inequality, Monotonic convergence, iterative learning controller, non-causal