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(lèi)方法綜合了系統理論，線(xiàn)性代數和統計學(xué)三方面的思想，其特點(diǎn)是直接由輸入輸出數據辨識系統的狀態(tài)空間模型，因而非常適合多變量系統辨識。
In the self-developed multivariable system design platform for a parameter uncertainty robust industrial object system design shows its effectiveness and practicality. 在自行研制的多變量系統設計平臺中對一個(gè)參數不確定性工業(yè)對象的魯棒系統進(jìn)行設計，結果表明了該算法的有效性和實(shí)用性。
