DocumentCode
2466787
Title
Steady-state gains and sample-hold discretisations of infinite-dimensional linear systems
Author
Coughlan, James J. ; Logemann, Hartmut
Author_Institution
Dept. of Math. Sci., Bath Univ.
fYear
2006
fDate
13-15 Dec. 2006
Firstpage
4700
Lastpage
4705
Abstract
At the basis of our considerations are the algebra of shift-invariant bounded linear input-output operators on L2(Ropf+) and the subalgebra consisting of all convolution operators with measure kernels together with their discrete-time counterparts. We introduce the concepts of asymptotic steady-state gain, L2-steady-state gain and l2-steady-state gain. We give some natural conditions under which the existence of these steady-state gains is guaranteed. Under a mild assumption on the continuous-time system it is shown that the existence of the (continuous-time) L2-steady-state gain implies the existence of the l2-steady-state gain of the sample-hold discretisation and that these two gains coincide. The sample and hold operations considered are ideal sampling, generalised sampling and zero-order hold. Applications to sampled-data control are briefly discussed
Keywords
algebra; continuous time systems; discrete time systems; linear systems; multidimensional systems; sampled data systems; algebra; asymptotic steady-state gain; continuous-time system; discrete-time; infinite-dimensional linear systems; infinite-dimensional systems; sample-hold discretisation; sample-hold discretisations; sampled-data control; sampled-data systems; Algebra; Control systems; Convolution; Gain measurement; Kernel; Lab-on-a-chip; Linear systems; Sampling methods; Steady-state; USA Councils; Generalised sampling; ideal sampling; infinite-dimensional systems; sampled-data systems; shift-invariant input-output operators; steady-state gain; step error; zero-order hold;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2006 45th IEEE Conference on
Conference_Location
San Diego, CA
Print_ISBN
1-4244-0171-2
Type
conf
DOI
10.1109/CDC.2006.377528
Filename
4177179
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