DocumentCode :
799809
Title :
Generation of sensitivity functions for linear systems using low-order models
Author :
Wilkie, Dennis F. ; Perkins, William R.
Author_Institution :
Ford Motor Company, Dearborn, Mich
Volume :
14
Issue :
2
fYear :
1969
fDate :
4/1/1969 12:00:00 AM
Firstpage :
123
Lastpage :
130
Abstract :
New proofs are given for the recently demonstrated total symmetry and complete simultaneity properties for the companion canonic form for single-input linear time-invariant controllable systems. These proofs result in a convenient closed-form expression for the complete simultaneity property. The use of these properties to generate by one n th-order sensitivity model all the sensitivity functions frac{\\partial x_{i}}{\\partial v_{j}}|_v^{0}, i=1,...,n, j=1,...,r, for a single-input linear time-invariant controllable n th-order system which depends on r different parameters is reviewed. This method represents an improvement over known methods for generating the sensitivity functions, which generally require a composite dynamic system of order n(r+1) . This result is then extended to the case of multi-input normal linear systems, where, at most, 2m-1 dynamic n th-order systems are needed in addition to the system to generate all the sensitivity functions of the system state with respect to any number of parameters ( m is the dimension of u ). It is shown that the algebraic calculations that must be made in the m -input case are much less than m times the calculations needed for the single-input case. The implications of these results for the computer aided sensitivity analysis of systems are discussed.
Keywords :
Linear time-invariant (LTI) systems; Sensitivity design; Adaptive systems; Analytical models; Closed-form solution; Computational modeling; Control system synthesis; Equations; Linear systems; Numerical simulation; Sensitivity analysis; Transportation;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1969.1099129
Filename :
1099129
Link To Document :
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