Modelling of uncertain systems via linear programming
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Publication:1914995
DOI10.1016/0005-1098(95)00148-4zbMath0851.93006OpenAlexW2015093551MaRDI QIDQ1914995
T. K. Gustafsson, Pertti M. Mäkilä
Publication date: 26 November 1996
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(95)00148-4
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Cites Work
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- Parameter identification in the presence of non-parametric dynamic uncertainty
- Smoothness priors transfer function estimation
- From time series to linear system, III: Approximate modelling
- Identification and application of bounded-parameter models
- Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
- Worst-case identification in Banach spaces
- Worst case system identification in \(\ell{}_ 1\): Optimal algorithms and error bounds
- The modeling of uncertainty in control systems. Proceedings of the 1992 Santa Barbara Workshop held at the University of California, Santa Barbara, CA, USA, June 18-20, 1992
- Information-based complexity and nonparamteric worst-case system identification
- Controller design for plants with structured uncertainty
- The sample complexity of worst-case identification of FIR linear systems
- Time domain identification for robust control
- Analysis of linear methods for robust identification in \(\ell_ 1\)
- Worst-case control-relevant identification
- Robust approximate modelling of stable linear systems†
- Optimal asymptotic identification under bounded disturbances
- Optimal rejection of persistent disturbances, robust stability, and mixed sensitivity minimization
- Selection of Variables in Linear Regression Using the Minimum Sum of Weighted Absolute Errors Criterion
- Robust identification and Galois sequences
- System identification using Laguerre models
- Identification with nonparametric uncertainty
- Hard frequency-domain model error bounds from least-squares like identification techniques
- Quantifying the error in estimated transfer functions with application to model order selection
- Set-membership identification of systems with parametric and nonparametric uncertainty
- Model validation: a connection between robust control and identification
- Worst-case input-output identification
- Robust identification of strongly stabilizable systems
- An Efficient Algorithm for Discrete $l_1$ Linear Approximation with Linear Constraints
- On the metric complexity of casual linear systems: ε -Entropy and ε -Dimension for continuous time
- On the time complexity of worst-case system identification
- A time-domain approach to model validation
- Worst-case analysis of identification-BIBO robustness for closed-loop data
- Fast identification n-widths and uncertainty principles for LTI and slowly varying systems
- Norms for Smoothing and Estimation