Data-based analysis of discrete-time linear systems in noisy environment: controllability and observability
From MaRDI portal
Publication:508746
DOI10.1016/j.ins.2014.07.048zbMath1354.93025OpenAlexW2024691418MaRDI QIDQ508746
Derong Liu, Qinglai Wei, Peng-Fei Yan
Publication date: 8 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.07.048
Controllability (93B05) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Observability (93B07)
Related Items (3)
Control analysis and synthesis of data-driven learning for uncertain linear systems ⋮ Minimum input design for direct data-driven property identification of unknown linear systems ⋮ Informativity of noisy data for structural properties of linear systems
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Strong consistency of least squares estimates in multiple regression II
- Iterative learning control. Convergence, robustness and applications
- \({\mathcal Q}\)-learning
- Approximate dynamic programming-based approaches for input--output data-driven control of nonlinear processes
- Linear Systems Control
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
- Nonlinear controllability and observability
- The unfalsified control concept and learning
- Lazy learning for local modelling and control design
- Virtual reference direct design method: an off-line approach to data-based control system design
- Iterative feedback tuning—an overview
- Direct Nonlinear Control Design: The Virtual Reference Feedback Tuning (VRFT) Approach
- Approximate Dynamic Programming
This page was built for publication: Data-based analysis of discrete-time linear systems in noisy environment: controllability and observability