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In this study, the authors present an overview of closed‐loop subspace identification
methods found in the recent literature. Since a significant number of algorithms has …

Part I deals with the mathematical preliminaries: numerical linear algebra; system theory;
stochastic processes; and Kalman filtering. Part II explains realization theory as applied to …

A typical design procedure for model predictive control or control performance monitoring
consists of: identification of a parametric or nonparametric model; derivation of the output …

We study the problem of system identification and adaptive control in partially observable
linear dynamical systems. Adaptive and closed-loop system identification is a challenging …

Subspace identification for closed loop systems has been recently studied by several
authors. A class of new and consistent closed-loop subspace algorithms is based on …

We study statistical consistency of two recently proposed subspace identification algorithms
for closed-loop systems. These algorithms may be seen as implementations of an abstract …

The classical Amold-Liouville theorem describes the geometry of an integrable Hamiltonian
system near a regular level set of the moment map. Our results describe it near a …

In this paper, a closed-loop subspace identification approach through an orthogonal
projection and subsequent singular value decomposition is proposed. As a by-product of …

This brief proposes a robust subspace-aided fault detection approach for rolling mill
processes with roll eccentricity. The novelty of this brief relies on the closed-loop …