Pages that link to "Item:Q5282254"
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The following pages link to On the Relation Between CCA and Predictor-Based Subspace Identification (Q5282254):
Displaying 14 items.
- Synthesis and implementation of gain-scheduling and LPV controllers for an AMB system (Q445094) (← links)
- Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms (Q1000570) (← links)
- Cautious \(\mathcal H_2\) optimal control using uncertain Markov parameters identified in closed loop (Q1015756) (← links)
- The relation of the CCA subspace method to a balanced reduction of an autoregressive model. (Q1421323) (← links)
- 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 (Q1661214) (← links)
- A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems (Q1679850) (← links)
- Application of recursive subspace method in vehicle lateral dynamics model identification (Q1792743) (← links)
- A data-driven covert attack strategy in the closed-loop cyber-physical systems (Q1796672) (← links)
- Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
- PO-MOESP subspace identification of directed acyclic graphs with unknown topology (Q2409410) (← links)
- The role of vector autoregressive modeling in predictor-based subspace identification (Q2475462) (← links)
- Linear parameter-varying subspace identification: a unified framework (Q2662258) (← links)
- Data-driven robust fault tolerant linear quadratic preview control of discrete-time linear systems with completely unknown dynamics (Q5855324) (← links)
- Data-driven predictive control in a stochastic setting: a unified framework (Q6160766) (← links)