Tohru Katayama

Learn More
This paper is concerned with the identification of a class of piecewise affine systems called a piecewise affine autoregressive exogenous (PWARX) model. The PWARX model is composed of ARX sub-models each of which corresponds to a polyhedral region of the regression space. Under the temporary assumption that the number of sub-models is known a priori, the(More)
A simple method of identifying plant and controller operating in closed-loop is developed by the orthogonal decomposition technique. Under the assumption that the system is open-loop as well as closed-loop stable, a subspace identification algorithm of identifying the deterministic part is derived based on two successive LQ decompositions. The idea is(More)
This report discusses problems and methodologies that lie in the broad scope of systems and signals, with special focus on modeling, identification and signal processing; adaptation and learning; discrete event and hybrid systems; and stochastic systems. A common theme underlying all these areas is that problems in control systems and signals are usually(More)
In this paper, we consider a stochastic realization problem with finite covariance data based on " LQ decomposition " in a Hilbert space, and re-derive a non-stationary finite-interval realization ([4, 5]). We develop a new algorithm of computing system matrices of the finite-interval realization by LQ decomposition, followed by the SVD of a certain block(More)