INFORMATION SYSTEMS IN MANAGEMENT V - SGGW

3. DEVELOPMENT MODEL OF STATE eADMINISTRATION (EAP)
IN THE STATE SPACE
The approach (presented in this paper) towards the identification of the state
eAdministration system development where the system is considered an intelligent
system, is not a totally new concept as there have been attempts in science to define
a management system, including state administration system as a control system
for many years.
In the identification experiments a parametric model - AutoRegressive with
eXogenous input 2 was used. It may be described as follows [Zimmer A., 2006]:
y(
θ ) = −a1
y(
θ −1)
− a2
y(
θ − 2)
−...
− ana
y(
θ − na)
+ b1u(
θ −1)
+
+ ... + b u(
θ − nb)
+ v(
θ ),
nb
As a result of identification, a parametric model in the form of a th matrix is obtained,
i.e. for the arx model i.a. parameters: na, nb, nc and A(q), B(q), C(q), etc.
Thus:
θ =
( 1)
T
[ a a ,..., a , b , b ,..., b , c , c ,..., c ] ( 2)
1,
2 na 1 2 nb 1 2
4. RESEARCH CONCERNING EAP SYSTEM DEVELOPMENT
Parametric changes do not interfere with or disturb the state of safe development
of eAdministration system. On the other hand, structural changes result in a
dangerous state of state eAdministration system (EAP) development, the consequence
of which may be a rapid change in the characteristics of size and the values
of variable quantities of the state as well as system inputs and outputs.
The reasons for structural changes may result from the need to introduce new
technologies or the possibility to conduct investment processes (introduce new
generation of computers, printers, software, faxes, etc.). Such structural change
may be a transition from paper state administration into state eAdministration. At
present, introduction of state eAdministration determines new areas of structure
and organization both with respect to functioning of the administration itself and its
relations with nearer and further neighbourhood.
State administration, including national administration is becoming a distributed
eOffice where decisions are made on the basis of electronic systems providing
information for the management. Although good models of providing information
2 arx model; AutoRegressive with eXogenous input
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