Data-driven output prediction and control of stochastic systems: an innovation-based approach
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Publication:6659177
DOI10.1016/j.automatica.2024.111897MaRDI QIDQ6659177
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Publication date: 8 January 2025
Published in: (Search for Journal in Brave)
Cites Work
- Dynamic modeling, predictive control and performance monitoring. A data-driven subspace approach
- Introduction to optimal estimation
- From model-based control to data-driven control: survey, classification and perspective
- The role of vector autoregressive modeling in predictor-based subspace identification
- A note on persistency of excitation
- Data-Driven Model Predictive Control With Stability and Robustness Guarantees
- Data‐enabled predictive control for quadcopters
- Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations
- Data-driven predictive control in a stochastic setting: a unified framework
- On a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control
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