Universal Algebraic Controllers and System Identification
Abstract
In this document, some structured operator approximation theoretical methods for system identification of nearly eventually periodic systems, are presented. Let Cn× m denote the algebra of n× m complex matrices. Given >0, an arbitrary discrete-time dynamical system (,T) with state-space contained in the finite dimensional Hilbert space Cn, whose state-transition map T:× ([0,∞) Z) is unknown or partially known, and needs to be determined based on some sampled data in a finite set =\xt\1≤ t≤ m⊂ according to the rule T(xt,1)=xt+1 for each 1≤ t≤ m-1, and given x∈ . We study the solvability of the existence problems for two triples (p,A,) and (p,Aη,) determined by a polynomial p∈ C[z] with (p)≤ m, a matrix root A∈Cm× m and an approximate matrix root Aη∈Cr× r of p(z)=0 with r≤ m, two completely positive linear multiplicative maps :Cm× m Cn× n and :Cr× r Cn× n, such that \|T(x,t)-(At)x\|≤ and \|(Aηt)x-(At)x\|≤, for each integer t≥ 1 such that \|T(x,t)-y\|≤ for some y∈ . Some numerical implementations of these techniques for the reduced-order predictive simulation of dynamical systems in continuum and quantum mechanics, are outlined.