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
th-order sensitivity model all the sensitivity functions
for a single-input linear time-invariant controllable
th-order system which depends on
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
. This result is then extended to the case of multi-input normal linear systems, where, at most,
dynamic
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 (
is the dimension of
). It is shown that the algebraic calculations that must be made in the
-input case are much less than
times the calculations needed for the single-input case. The implications of these results for the computer aided sensitivity analysis of systems are discussed.
th-order sensitivity model all the sensitivity functions
for a single-input linear time-invariant controllable
th-order system which depends on
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
. This result is then extended to the case of multi-input normal linear systems, where, at most,
dynamic
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 (
is the dimension of
). It is shown that the algebraic calculations that must be made in the
-input case are much less than
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