TY - JOUR
T1 - AGGREGATION AND INFORMATION STRUCTURING IN LARGE-SCALE DYNAMIC SYSTEMS.
AU - Arbel, Ami
AU - Tse, Edison
PY - 1980
Y1 - 1980
N2 - This paper considers the problem of information structuring in large-scale dynamic systems. Specifically, it is shown that if the complete state can be measured and an aggregation rule, or structuring, is specified, then a tracking control can be derived with no need for a reduced-order model. In addition, this control effort is always bounded. Also, when one has freedom in specifying the input distribution, the derivation of the control will be achieved through the subtraction of the vector of structured information from the vector of the next-stage desired value of the controlled variable.
AB - This paper considers the problem of information structuring in large-scale dynamic systems. Specifically, it is shown that if the complete state can be measured and an aggregation rule, or structuring, is specified, then a tracking control can be derived with no need for a reduced-order model. In addition, this control effort is always bounded. Also, when one has freedom in specifying the input distribution, the derivation of the control will be achieved through the subtraction of the vector of structured information from the vector of the next-stage desired value of the controlled variable.
UR - http://www.scopus.com/inward/record.url?scp=0019262283&partnerID=8YFLogxK
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AN - SCOPUS:0019262283
SN - 0163-6006
SP - 656
EP - 660
JO - Proceedings - International Conference on Cybernetics and Society
JF - Proceedings - International Conference on Cybernetics and Society
T2 - Proc Int Conf Cybern Soc
Y2 - 8 October 1980 through 10 October 1980
ER -