Abstract
We present in this paper a state space realization of transfer operators of linear time-invariant distributed systems. Our method is, on the one hand, the frequency domain analog of the universal state space representation of an input-output relation of A. V. Balakrishnan [1]; and on the other hand is based on the operator model theory of Nagy and Foias [2].
We shall discuss both discrete-time and continuous-time systems.
Given a discrete-time transfer operator {θ(z), H1,H2} which is analytic and bounded in ‖z‖<1, and is a map from ‖z‖<1 to the linear bounded operators from a Hilbert Space H1 to another Hilbert Space H2. Thus, we have the frequency domain input-output relation
where v(z) ε H2(H2), u(z) ∈ H2(H1). H2(H) is the space of power series f(x)=\(\mathop \sum \limits_{n = 0}^\infty \)fnzn, ∈ H and \(\mathop \sum \limits_{n = 0}^\infty \parallel f_n \parallel _H^2 < \infty \). Our problem is to construct a state space for which θ(z) admits the canonical relization
where A, B, C, D are operators on intermediate spaces.
Clearly in (1) we only consider (the transforms of) those outputs in the future which resulted entirely from inputs defined over the same time interval. Let M be the closure of the set of these outputs, then a state space for the system can be taken to be the orthogonal complement (in H2(H2)] M┴ of M. Clearly M┴ does contain those outputs which resulted from inputs in the past. These outputs actually represent the “controllable“ part of the system. Thus the system is controllable if these outputs are dense in M┴. It will be shown that the operators A, B, C, D in (2) are expressible in terms of the compressed shift operator T and its adjoint T* on M┴. T is in the Nagy-Foias Theory the canonical model of Hilbert Space contraction operators. It will be shown that the realization (1) will be canonical (controllable and observable) when the operators A, B, C, D are restricted to the cyclic subspaces of T and T*. These subspaces are contained in M┴ and will be specifically characterized.
For the continuous-time case we consider a given transfer operator {θ(p),H1,H2} which is now analytic and bounded in Re. p>0, and its values are linear bounded operators from H1 to H2. In this case we associate with θ(p) the transform input and output spaces H2(π+,H1) and H2(π+,H2) which are the spaces of Laplace Transforms of L2(0,∞,H1) and L2(0,∞,H2) respectively. H2(π+,H1,2) are of course related to their boundary spaces L2(iω, dω/2π, H1,2). These latter spaces are in turn the Fourier transforms F L2(0,∞,H1,2).
The state space relization of θ(p) is now
where A, B, C, D are in this case related to the cogenerator of the (continuous) shift semigroup.
In both the discrete and continuous time cases we are required to consider the associated frequency operators θ(eit) and θ(iω) — which are boundary functions of θ(z) and θ(p) respectively. A decomposition of these operators w.r.t. the orthogonal decompositions L 2− (H1,2) ⊕ L 2+ (H1,2) and F L2(−∞, 0, H1,2) ⊕ F L2(0, ∞, H1,2) respectively, will automatically give the controllable part of the system. Also, the realization in both cases will be ‘reduced’ that is observable as well.
Work supported by the National Science Foundation USA under Grant #ENG 75-11876
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6. References
A. V. Balakrishnan, “System Theory and Stochastic Optimization“ in Network and Signal Theory, NATO Ad. Study Ins. Sept. 72 Edited by J. K. Skwirzynski and J. O. Scanlan, Peter Peregrimus Ltd. London 1973, pp. 391–396.
Sz-Nagy and C. Foias, “Harmonic Analysis of Operators on Hilbert Spaces”, North Holland American Elsevier, New York, 1970.
N. Levan, “The Nagy-Foias Operator Models, Networks, and Systems“ I.E.E.E. Transactions on Circuits and Systems, Vol. CAS 23, No. 6, June 1976, pp. 335–342.
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Levan, N. (1978). A state space realization of linear distributed parameter system (DPS) transfer operators. In: Ruberti, A. (eds) Distributed Parameter Systems: Modelling and Identification. Lecture Notes in Control and Information Sciences, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0003748
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DOI: https://doi.org/10.1007/BFb0003748
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