On the Relation Between CCA and Predictor-Based Subspace Identification
From MaRDI portal
Publication:5282254
DOI10.1109/TAC.2007.906159zbMath1366.93673MaRDI QIDQ5282254
Publication date: 27 July 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Related Items (13)
An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems ⋮ Linear parameter-varying subspace identification: a unified framework ⋮ Maximum entropy vector kernels for MIMO system identification ⋮ PO-MOESP subspace identification of directed acyclic graphs with unknown topology ⋮ A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems ⋮ Data-driven predictive control in a stochastic setting: a unified framework ⋮ Synthesis and implementation of gain-scheduling and LPV controllers for an AMB system ⋮ The role of vector autoregressive modeling in predictor-based subspace identification ⋮ Application of recursive subspace method in vehicle lateral dynamics model identification ⋮ Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms ⋮ A data-driven covert attack strategy in the closed-loop cyber-physical systems ⋮ Cautious \(\mathcal H_2\) optimal control using uncertain Markov parameters identified in closed loop ⋮ Data-driven robust fault tolerant linear quadratic preview control of discrete-time linear systems with completely unknown dynamics
This page was built for publication: On the Relation Between CCA and Predictor-Based Subspace Identification