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Reducibility condition for nonlinear discrete-time systems: behavioral approach

Bartosiewicz Z., Kotta U., Pawłuszewicz E., Tonso M., Wyrwas M.

Control and Cybernetics

2013

Vol. 42, no. 2

329--346

The paper addresses the problem of reducibility of nonlinear discrete-time systems, described by implicit higher order difference equations where no a priori distinction is made between input and output variables. The reducibility definition is based on the concept of autonomous element. We prove necessary reducibility condition, presented in terms of the left submodule, generated by the row matrix, describing the behavior of the linearized system, over the ring of left difference polynomials. Then the reducibility of the system implies the closedness of the submodule, like in the linear time-invariant case. In the special case, when the variables may be specified as inputs and outputs and the system equations are Niven in the explicit form, the results of this paper yield the known results.

Behavioral systems theory: a survey

Zerz E.

International Journal of Applied Mathematics and Computer Science

2008

Vol. 18, no 3

265-270

We survey the so-called behavioral approach to systems and control theory, which was founded by J. C. Willems and his school. The central idea of behavioral systems theory is to put the focus on the set of trajectories of a dynamical system rather than on a specific set of equations modelling the underlying phenomenon. Moreover, all signal components are treated on an equal footing at first, and their partition into inputs and outputs is derived from the system law, in a way that admits several valid cause-effect interpretations, in general.