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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2004.4
- 수록면
- 247 - 252 (6page)
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초록· 키워드
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In this paper are proposed 2nd-order PD-type iterative learning control algorithms for linear continuous-time system and linear discrete-time system. In contrast to conventional methods, the proposed learning algorithms are constructed based on both time-domain performance and iteration-domain performance. The convergence of the proposed learning algorithms is proved. Also, it is shown that the proposed method has robustness in the presence of external disturbances and the convergence accuracy can be improved. A numerical example is provided to show the effectiveness of the proposed algorithms.
목차
요약
1. 서론
2. 2nd-order PD-type ILC for linear continuous-time system
3. 2nd-order PD-type ILC for linear discrete-time system
4. Simulation Example
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2009-028-014902837