DocumentCode :
846092
Title :
Input-output decomposition of dynamic systems is NP-complete
Author :
Tarjan, R.
Author_Institution :
AT&T Bell Laboratories, Murray Hill, NJ, USA
Volume :
29
Issue :
9
fYear :
1984
fDate :
9/1/1984 12:00:00 AM
Firstpage :
863
Lastpage :
864
Abstract :
Pichai, Sezar, and Siljak have studied a decomposition technique for acyclic graphs, called input-output decomposition, that simplifies the analysis of dynamic systems. We show that the problem of determining whether a given graph is decomposable is NP-complete. Since this makes the existence of a polynomial-time decomposition algorithm unlikely, the possible benefits of having an input-output decomposition may be outweighed by the difficulty of finding one.
Keywords :
Graph theory; Adaptive control; Decoding; Digital control; Equations; Matrix decomposition; Partitioning algorithms; Polynomials; Programmable control; Symmetric matrices; Terminology;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1984.1103657
Filename :
1103657
Link To Document :
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