Application of a subspace model identification technique to identify LTI systems operating in closed-loop
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Publication:1261093
DOI10.1016/0005-1098(93)90104-2zbMath0850.93173OpenAlexW2086298214MaRDI QIDQ1261093
Publication date: 20 November 1996
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(93)90104-2
System identification (93B30) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Related Items (16)
A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems ⋮ Subspace-based methods for the identification of linear time-invariant systems ⋮ Closed-loop subspace-based identification algorithm using third-order cumulants ⋮ Closed-loop system identification using the dual Youla control parametrization ⋮ Identifying MIMO Hammerstein systems in the context of subspace model identification methods ⋮ Closed-loop identification of unstable systems using noncausal FIR models ⋮ Bounded-error identification for closed-loop systems ⋮ Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting ⋮ An approach to closed-loop subspace identification by orthogonal decomposition ⋮ The role of vector autoregressive modeling in predictor-based subspace identification ⋮ Experimental application of subspace model identification of an unstable system ⋮ A tuning algorithm for multivariable restricted structure control systems using subspace identification ⋮ Asymptotic properties of subspace estimators ⋮ Consistency analysis of some closed-loop subspace identification methods ⋮ Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques ⋮ Subspace identification of closed loop systems by the orthogonal decomposition method
Uses Software
Cites Work
- A course in \(H_{\infty}\) control theory
- On covariance function tests used in system identification
- Fast projection methods for minimal design problems in linear system theory
- Identifiability of linear stochastic systems operating under linear feedback
- Identification of processes in closed loop-identifiability and accuracy aspects
- Subspace model identification Part 3. Analysis of the ordinary output-error state-space model identification algorithm
- All optimal Hankel-norm approximations of linear multivariable systems and theirL,∞-error bounds†
- Subspace model identification Part 1. The output-error state-space model identification class of algorithms
- Subspace model identification Part 2. Analysis of the elementary output-error state-space model identification algorithm
- Feedback between stationary stochastic processes
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