Time-domain input-output representations of linear systems

A non-oriented matrix pencil model containing internal and external variables is shown to possess properties useful for modelling and design of linear dynamical systems. Three of these properties are trivial inversion, invariance under a useful class of operations, and simple decomposition using easily-implemented row and column operations. Realizations of state-space and polynomial operator models are given, then a definition of system dimension and a minimal-reduction algorithm. A new time-domain canonical form compatible with polynomial operator systems is described. Examples of the use of the model in algebraic design problems are given.

[1]  D. Luenberger An introduction to observers , 1971 .

[2]  Elijah Polak,et al.  An algorithm for reducing a linear, time-invariant differential system to state form , 1966 .

[3]  V. Popov Invariant Description of Linear, Time-Invariant Controllable Systems , 1972 .

[4]  L. Foster A practical solution to the minimal design problem , 1979 .

[5]  V. Klema LINPACK user's guide , 1980 .

[6]  J. D. Aplevich An application of model-following control , 1979 .

[7]  R. D. Gibson Theory and problems of heat transfer, (schaum's outline series): McGraw-Hill, New York (1978) , 1979 .

[8]  E. Kuh,et al.  The state-variable approach to network analysis , 1965 .

[9]  J. Rissanen Basis of invariants and canonical forms for linear dynamic systems , 1974, Autom..

[10]  D. Luenberger Dynamic equations in descriptor form , 1977 .

[11]  Jr. G. Forney,et al.  Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear Systems , 1975 .

[12]  D. Luenberger Canonical forms for linear multivariable systems , 1967, IEEE Transactions on Automatic Control.

[13]  Thomas Kailath,et al.  Fast and stable algorithms for minimal design problems , 1977 .

[14]  W. Wolovich Linear multivariable systems , 1974 .

[15]  Thomas Kailath,et al.  Generalized dynamical systems , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[16]  H. Rosenbrock,et al.  State-space and multivariable theory, , 1970 .

[17]  P. Dooren The Computation of Kronecker's Canonical Form of a Singular Pencil , 1979 .

[18]  James Hardy Wilkinson,et al.  Kronecker''s canonical form and the QZ algorithm , 1979 .

[19]  R. Kálmán Mathematical description of linear dynamical systems , 1963 .

[20]  E. Davison,et al.  A minimization algorithm for the design of linear multivariable systems , 1973 .

[21]  J. D. Aplevich,et al.  Direct computation of canonical forms for linear systems by elementary matrix operations , 1974 .

[22]  R. W. Newcomb,et al.  Degenerate networks , 1966 .

[23]  J. H. Wilkinson The algebraic eigenvalue problem , 1966 .

[24]  Edward J. Davison,et al.  Observing partial states for systems with unmeasurable disturbances , 1978 .

[25]  David Jordan,et al.  On state equation descriptions of linear differential systems , 1975, 1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes.

[26]  C. Desoer,et al.  Linear System Theory , 1963 .

[27]  J. Rissanen,et al.  1972 IFAC congress paper: Partial realization of random systems , 1972 .

[28]  C. Desoer,et al.  Degenerate networks and minimal differential equations , 1975 .

[29]  W. M. Wonham,et al.  Linear Multivariable Control , 1979 .

[30]  T. Kailath,et al.  Properties of the system matrix of a generalized state-space system , 1978 .

[31]  Richard S. Bucy,et al.  Canonical Minimal Realization of a Matrix of Impulse Response Sequences , 1971, Inf. Control..