From time series to linear system-part I. Finite dimensional linear time invariant systems
Automatica (Journal of IFAC)
State space realization of 2-D finite-dimensional behaviours
SIAM Journal on Control and Optimization
Introduction to mathematical systems theory: a behavioral approach
Introduction to mathematical systems theory: a behavioral approach
Causal Input/Output Representation of 2D Systems in the Behavioral Approach
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
First–Order Representations of Discrete Linear MultidimensionalSystems
Multidimensional Systems and Signal Processing
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We characterize the discrete 2D systems with kernel representation that admit a state/driving-variable (SDV) representation. This characterization is based on the possibility of decomposing a behaviour {\cal B} as the sum of its controllable part with a suitable autonomous part (controllable-autonomous decomposition). We show that {\cal B} has a SDV representation if and only if it allows for a controllable-autonomous decomposition where the autonomous part is SDV representable. This means that {\cal B} has a kernel representation matrix which can be decomposed as the product of two 2D L-polynomial matrices such that the left factor is factor left prime and the right factor is square and properly invertible.