Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

蕭維德（2013）。Control issues related to adaptive forward prediction algorithm for dynamically substructured systems〔碩士論文，國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2511201311313186
Ma, L., & Li, X. (2017). Subspace Method Aided Data-Driven Fault Detection Based on Principal Component Analysis. Journal of Control Science and Engineering, 2017(), 1-8-006. https://doi.org/10.1155/2017/1812989
Kuo, Y. T., Kang, Y. H., Chang, K. M., & Liu, Y. T. (2013). Observer-Based Adaptive Sliding Mode Control for Uncertain Systems with Dead-Zone Input. 中國機械工程學刊, 34(3), 221-228. https://www.airitilibrary.com/Article/Detail?DocID=02579731-201306-201401090002-201401090002-221-228
Liu, Y. C. (2011). Application of Covariance Driven Stochastic Subspace Identification Method [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2011.00497
Lin, C. C. (2015). Context-Aware Activity Classification with Adaptive Transmission [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2015.02785