Data Informativity for Observability: An Invariance-based Approach
暂无分享,去创建一个
[1] M. Malabre. Generalized linear systems: geometric and structural approaches , 1989 .
[2] M. Kanat Camlibel,et al. Data Informativity: A New Perspective on Data-Driven Analysis and Control , 2019, IEEE Transactions on Automatic Control.
[3] Bart De Moor,et al. A note on persistency of excitation , 2005, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[4] John Lygeros,et al. Data-Enabled Predictive Control: In the Shallows of the DeePC , 2018, 2019 18th European Control Conference (ECC).
[5] Qinglai Wei,et al. Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability , 2014, Inf. Sci..
[6] Derong Liu,et al. Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems , 2011, IEEE Transactions on Neural Networks.
[7] Paolo Rapisarda,et al. Data-driven simulation and control , 2008, Int. J. Control.
[8] Lorenzo Ntogramatzidis,et al. On the computation of the fundamental subspaces for descriptor systems , 2016, Int. J. Control.
[9] Frank Allgöwer,et al. Data-Driven Model Predictive Control With Stability and Robustness Guarantees , 2019, IEEE Transactions on Automatic Control.
[10] Pietro Tesi,et al. Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness , 2019, IEEE Transactions on Automatic Control.
[11] Zhuo Wang,et al. Data-Driven Analysis Methods for Controllability and Observability of A Class of Discrete LTI Systems with Delays , 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).