지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2018.10
- 수록면
- 1,226 - 1,231 (6page)
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초록· 키워드
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Robust Model Predictive Control (RMPC) has been researched to overcome the problem of controlling the uncertainty. Theoretically, the algorithm with worst-case cost could successfully reject the bounded disturbance and lower the upper bound of the cost. It rarely, however, applied in industry because the algorithm deals with the scenario which has the negligible probability to occur. In this paper, the Multi-Tube MPC (MTMPC) is proposed with the notion of minimum response probability that the controller only react to the scenario which has a significant probability. In order to build those scenarios, the disturbance set was decomposed into several subsets and sub-tubes were constructed by collecting the subsets into the sequence. The parameterized tube MPC was used to evaluate each scenario and the maximization has been taken. The recursive feasibility and stability were proven and the simulation results are presented to show that the proposed method could be an effective alternative of conventional worst-case cost method.
목차
Abstract
1. INTRODUCTION
2. BRIEF REVIEW OF TUBE MPC AND MULTIPLE TUBE MODEL
3. METHOD OF SET DECOMPOSITION
4. ILLUSTRATIVE EXAMPLE
5. CONCLUSION
6. ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-003-003539751