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Title: Derivation of effective transfer function models by input, output variables selection (English)
Author: Karcanias, Nicos
Author: Vafiadis, Konstantinos G.
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 38
Issue: 6
Year: 2002
Pages: [657]-683
Summary lang: English
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Category: math
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Summary: Transfer function models used for early stages of design are large dimension models containing all possible physical inputs, outputs. Such models may be badly conditioned and possibly degenerate. The problem considered here is the selection of maximal cardinality subsets of the physical input, output sets, such as the resulting model is nondegenerate and satisfies additional properties such as controllability and observability and avoids the existence of high order infinite zeros. This problem is part of the early design task of selecting well-conditioned progenitor models on which successive design has to be carried out. The conditions for different type of degeneracy are investigated and this leads to necessary and sufficient conditions required to guarantee nondegeneracy. The sufficient conditions for nondegeneracy also lead to models with no infinite zeros. Furthermore, additional conditions are derived which guarantee controllability and observability of the resulting model. The results are then used to develop a selection procedure for natural subsets of inputs and outputs, which guarantee transfer function and input, output nondegeneracy, as well as controllability and observability of the resulting system. A parameterisation of solutions that satisfy the above requirements is given. (English)
Keyword: input set
Keyword: output set
Keyword: controllability
Keyword: observability
MSC: 93B05
MSC: 93B07
MSC: 93B20
MSC: 93B40
MSC: 93B51
MSC: 93C05
MSC: 93C80
idZBL: Zbl 1265.93103
idMR: MR1954391
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Date available: 2009-09-24T19:49:44Z
Last updated: 2015-03-26
Stable URL: http://hdl.handle.net/10338.dmlcz/135495
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Reference: [2] Forney G. D.: Minimal bases of rational vector spaces with applications to multivariable systems.SIAM J. Control 13 (1975), 493–520 MR 0378886, 10.1137/0313029
Reference: [3] Gantmacher G.: Theory of Matrices.Volume 2. Chelsea, New York 1959 Zbl 0927.15002
Reference: [4] Georgiou A., Floudas C. A.: Structural analysis and synthesis of feasible control systems: Theory and applications.Chem. Eng. J. 67 (1989), 600–618
Reference: [5] Govind R., Powers G. J.: Control systems synthesis strategies.AIChE J. 28 (1982), 60–73 10.1002/aic.690280110
Reference: [6] Kailath T.: Linear Systems.Prentice Hall, Englewood Cliffs, N.J. 1980 Zbl 0870.93013, MR 0569473
Reference: [7] Karcanias N.: Global process instrumentation: Issues and problems of a system and control theory framework.Measurement 14 (1994), 103–113 10.1016/0263-2241(94)90048-5
Reference: [8] Karcanias N.: Control problems in global process instrumentation: A structural approach.In: Proc. ESCAPE-6, Comput. Chem. Eng. 20 (1996), 1101–1106
Reference: [9] Karcanias N., Giannakopoulos C.: Necessary and sufficient conditions for zero assignment by constant squaring down.Linear Algebra Appl. 122–124 (1989), 415–446 Zbl 0679.93012, MR 1019995
Reference: [10] Karcanias N., Hayton G. E.: State-space and transfer function invariant infinite zeros: A unified approach.In: Proc. 1981 Joint Automatic Control Conference, Univ. of Virginia, Charlottesville 1981, Paper TA–4C
Reference: [11] Karcanias N., Kalogeropoulos G.: On the Segre, Weyr characteristics of right (left) regular pencils.Internat. J. Control 44 (1986), 991–1015 MR 0855803, 10.1080/00207178608933647
Reference: [12] Karcanias N., Kouvaritakis B.: The output zeroing problem and its relationship to the invariant zero structure.Internat. J. Control 30 (1979), 395–415 Zbl 0434.93018, MR 0543563, 10.1080/00207177908922783
Reference: [13] Marcus M., Minc H.: A Survey of Matrix Theory and Matrix Inequalities.Allyn and Bacon, Boston 1964 Zbl 0247.15002, MR 0162808
Reference: [14] Mitrouli M., Karcanias N.: Computation of the GCD of polynomials using Gaussian transformations and shifting.Internat. J. Control 58 (1993), 211–228 Zbl 0777.93053, MR 1222144, 10.1080/00207179308922998
Reference: [15] Morari M.: Effect of design on the controllability of chemical plants.In: Proc. IFAC Workshop on Interaction between Process Design and Process Control, Imperial College 1992, pp. 3–16
Reference: [16] Morari M., Stephanopoulos G.: Studies in the synthesis of control structures for chemical processes: Part II: Structural aspects and the synthesis of alternative feasible control schemes.AIChE J. 26 (1980), 232–246 MR 0564126, 10.1002/aic.690260206
Reference: [17] Rijnsdorp J. E.: Integrated Process Control and Automation.Elsevier, Amsterdam 1991
Reference: [18] Rosenbrock H. H.: State–Space and Multivariable Theory.Nelson, London 1970 Zbl 0246.93010, MR 0325201
Reference: [19] Skogestad S., Postlethwaite I.: Multivariable Feedback Control.Wiley, Chichester 1996 Zbl 0883.93001
Reference: [20] Vardulakis A. I. G., Karcanias N.: Relation between strict equivalence invariants and structure at infinity of matrix pencils.IEEE Trans. Automat. Control AC–28 (1983), 99, 514–516 MR 0712782, 10.1109/TAC.1983.1103254
Reference: [21] Warren M. E., Eckberg A. E.: On the dimensions of controllability subspaces: A characterisation via polynomial matrices and Kronecker invariants.SIAM J. Control Optim. 13 (1975), 434–445 MR 0385683, 10.1137/0313026
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