Journal Article 状態空間モデルを同定するデータ駆動型極配置法
A Data-driven Pole Placement Method Simultaneously Identifying a State-space Model

山本, 茂  ,  岡野, 祐貴  ,  金子, 修

29 ( 4 )  , pp.162 - 167 , 2016-04 , システム制御情報学会 = The Institute of Systems, Control and Information Engineers
This paper studies a data driven pole placement method deriving a state feedback gain directly from a pair of state and input measurements of a given controllable discrete-time system. In a conventional approach, a state space model should be identified in advance to apply a standard pole placement algorithm. In the proposed method, a state feedback gain and a state space model can be simultaneously obtained under an assumption.

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