DocumentCode :
1295338
Title :
Higher order discretisation methods for a class of 2-D continuous-discrete linear systems
Author :
Galkowski, K. ; Rogers, E. ; Gramacki, A. ; Gramacki, J. ; Owens, D.H.
Author_Institution :
Dept. of Robotics & Software Eng., Tech. Univ. of Zielona, Gora, Poland
Volume :
146
Issue :
6
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
315
Lastpage :
320
Abstract :
Differential linear repetitive processes are a distinct class of two-dimensional linear systems which can be used, for example, to model industrial processes such as long-wall coal cutting operations. Also, they can be used to study key properties of classes of linear iterative learning schemes. The key feature of interest in the paper is the fact that information propagation in one of the two separate directions in such processes evolves continuously over a finite fixed duration and in the other direction it is, in effect, discrete. The paper develops discrete approximations for the dynamics of these processes and examines the effects of the approximation techniques used on two key systems-related properties. These are stability and the structure of the resulting discrete state-space models. Some ongoing work and areas for further development are also briefly noted
Keywords :
continuous time systems; discrete time systems; industrial control; linear systems; state-space methods; 2D continuous-discrete linear systems; approximation techniques; differential linear repetitive processes; discrete state-space models; finite fixed duration; higher order discretisation methods; industrial processes; information propagation; iterative learning schemes; long-wall coal cutting operations; systems-related properties;
fLanguage :
English
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2409
Type :
jour
DOI :
10.1049/ip-cds:19990726
Filename :
819796
Link To Document :
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