Closed-Loop PARSIMonious Subspace Identification: Theory and Application to MPC
Explore this paper's citation graph
Summary
A novel subspace identification method, based on PARSIMonious parameterization (Qin et al., 2005), and it is shown that such algorithm guarantees consistent estimates of the Markov parameters with open-loop and closed-loop data.
- Type
- article
- Published
- 2010-01-01
- Cited by
- 0
- References
- 30
- OpenAlex
- https://openalex.org/W39544223
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15245650
Keywords
Subspace topology, Observability, Toeplitz matrix, Mathematics, Identification (biology)
References
- Subspace Identification and ARX Modeling
- Closed-Loop Subspace Identification with Innovation Estimation
- Multivariable System Identification For Process Control
- Comparison of input signals in subspace identification of multivariable ill-conditioned systems
- Subspace model identification Part 1. The output-error state-space model identification class of algorithms
- Identification of dynamic systems under closed-loop control
- Closed-loop subspace identification: an orthogonal projection approach
- Closed-loop subspace identification using the parity space
- Disturbance models for offset‐free model‐predictive control
- A predictor form PARSIMonious algorithm for closed-loop subspace identification
- On the Relation Between CCA and Predictor-Based Subspace Identification
- Terminal composition control of a binary distillation column
- Subspace-based system identification: weighting and pre-filtering of instruments
- An approach to closed-loop subspace identification by orthogonal decomposition
- A novel subspace identification approach with enforced causal models
- Statistical optimality and canonical variate analysis system identification
- On consistency of closed-loop subspace identification with innovation estimation
- A personal view of the development of system identification: A 30-year journey through an exciting field
- The role of vector autoregressive modeling in predictor-based subspace identification
- Subspace identification of closed loop systems by the orthogonal decomposition method
Cited by
No citing papers recorded for this paper.
Related papers
- Observability methods and optimal meter placement
- On the observability and detectability of non-commensurate time-delay linear systems
- Switch observability for switched linear systems
- Observability of linear systems with multiple delays
- Quantitative analysis of observability in linear time-varying systems
- Non-uniform Observability for Fast Moving Horizon Estimation with application to the SLAM problem
- Controllability, Observability and Stabilization of a Class of Matrix Linear Systems
- Observability of Switched Linear Systems: A geometric approach
- On the observability of piecewise linear systems
- Preconditioning strategies for non‐Hermitian Toeplitz linear systems