Title :
Low-sensitivity observer-compensator design for two-dimensional digital systems
Author :
Stavroulakis, P. ; Paraskevopoulos, P.N.
Author_Institution :
Oakland University, School of Engineering, Rochester, USA
fDate :
9/1/1982 12:00:00 AM
Abstract :
The problem considered in the paper refers to the general area of developing design and computational algorithms for analysing low-sensitivity time-invariant multivariable two-dimensional systems using output feedback. It is seen that the matrix-minimum principle can be used to study two-dimensional digital systems with incomplete state information for the implementation of a low-sensitivity feedback law. The results show that an observer can be used in addition to the output vector to estimate the state of the system, which in turn is used for implementing the feedback law.
Keywords :
compensation; discrete systems; feedback; minimum principle; multidimensional systems; multivariable systems; state estimation; computational algorithms; design algorithms; low-sensitivity feedback law; low-sensitivity time-invariant multivariable two-dimensional systems; matrix-minimum principle; observer-compensator design; output feedback; output vector; state estimation; two-dimensional digital systems;
Journal_Title :
Control Theory and Applications, IEE Proceedings D
Conference_Location :
9/1/1982 12:00:00 AM
DOI :
10.1049/ip-d.1982.0042