System identification: theory for the user
System identification: theory for the user
Robust performance of cross-directional basis-weight control in paper machines
Automatica (Journal of IFAC)
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Control of symmetrically interconnected plants
Automatica (Journal of IFAC)
Matrix computations (3rd ed.)
Filtering and System Identification: A Least Squares Approach
Filtering and System Identification: A Least Squares Approach
Discretized partial differential equations: Examples of control systems defined on modules
Automatica (Journal of IFAC)
Spatially invariant systems: identification and adaptation
ASMCSS'09 Proceedings of the 3rd International Conference on Applied Mathematics, Simulation, Modelling, Circuits, Systems and Signals
Identification of spatiotemporally invariant systems for control adaptation
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
This article concerns the identification of a class of large scale systems called ''circulant systems''. Circulant systems have a special property that allows them to be decomposed into simpler subsystems through a state transformation. This property has been used in literature for control design, and here we show how it can be used for system identification. The approach that is proposed here will both reduce the complexity of the problem as well as provide models which have a circulant structure that can be exploited for control design. A novel identification algorithm for circulant systems based on subspace identification is presented. The algorithm is then tested in simulation on an academic example of circulant system and on a realistic finite element model of a vibrating plate.