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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 International Journal of Control Automation and Systems International Journal of Control Automation and System Vol.6 No.2
- 발행연도
- 2008.4
- 수록면
- 269 - 277 (9page)
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초록· 키워드
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This paper proposes a necessary and sufficient condition of convergence in the L₂-norm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance condition in the feedback control theory, respectively. Moreover, no additional effort is required to design an iterative learning controller because the performance weighting matrix is used as an iterative learning controller. By proving that the least upper bound of the L₂-norm of the remaining tracking error is less than that of the initial tracking error, this paper shows that the iterative learning controller combined with the feedback controller is more effective to reduce the tracking error than only the feedback controller. The validity of the proposed method is verified through computer simulations.
목차
Abstract
1. INTRODUCTION
2. MAIN RESULTS
3. SIMULATION RESULTS
4. CONCLUDING REMARKS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2010-560-001918918