基于新息估计和正交投影的闭环子空间模型辨识OA北大核心CSCDCSTPCD
Closed-loop Subspace Model Identification Using Innovation Estimation and Orthogonal Pro jection
针对闭环控制系统提出一种基于新息估计和正交投影的闭环子空间模型辨识方法。首先采用最小二乘法对VARX模型(Vector autoregressive with exogenous inputs model)进行计算得到新息估计值，然后通过将由观测输入输出数据构造的Hankel 矩阵正交投影到新息数据的正交补空间以消除噪声影响，从而在无噪声的输入输出数据奇偶空间中提取得到扩展可观测矩阵和下三角形Toeplitz矩阵。最后采用平移变换法得到系统矩阵。…查看全部>>
In this paper, a closed-loop subspace model identification method using innovation estimation and orthogonal projection is proposed for closed-loop control systems. Firstly, a least-squares algorithm is adopted to estimate the innovation matrix via the vector autoregressive with exogenous inputs (VARX) model. Then, by performing an orthogonal pro jection of the observed input-output Hankel matrix onto the orthogonal complement space of innovation Hankel matr…查看全部>>
侯杰;刘涛
大连理工大学控制科学与工程学院 大连 116024大连理工大学控制科学与工程学院 大连 116024
子空间辨识闭环辨识奇偶空间新息估计正交投影一致估计
Subspace identificationclosed-loop identificationparity spaceinnovation estimationorthogonal projec-tionconsistent estimation
《自动化学报》 2016 (11)
批量生产过程的抗扰辨识与带约束鲁棒迭代学习控制设计
1657-1663,7
国家自然科学基金(61473054),第三批国家青年千人计划,中央高校基本科研业务费重点培育基金(DUT15ZD108)资助Supported by National Natural Science Foundation of China (61473054), National Thousand Talents Program of China, and Fundamental Research Funds for the Central Universities of China (DUT15ZD108)
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