Based on input-output data, state space models are directly identified by the SMI methods combined with the system theory, linear algebra and statistics. 這類方法綜合了系統理論，線性代數和統計學三方面的思想，其特點是直接由輸入輸出數據辨識系統的狀態空間模型，因而非常適合多變數系統辨識。
In the self-developed multivariable system design platform for a parameter uncertainty robust industrial object system design shows its effectiveness and practicality. 在自行研製的多變數系統設計平台中對一個參數不確定性工業對象的魯棒系統進行設計，結果表明了該演算法的有效性和實用性。
