Establishment of stochastic model predictive control method and its application to random quantizers
| Project/Area Number |
15K06139
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Control engineering/System engineering
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| Research Institution | Osaka Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 制御工学 / システム工学 |
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| Outline of Final Research Achievements |
In the research field of system control engineering, a design method of control systems with taking uncertain disturbances into account is considered as one of the important research subjects. In this study, a basic theory and computational algorithm have been established for probabilistic constrained optimal control problem of uncertain systems with stochastic disturbances. Furthermore, the proposed method has been applied to the design problem of control systems with random quantizers. The effectiveness of the proposed method was verified by numerical simulations.
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Report
(4 results)
Research Products
(16 results)
