Title :
Input-output decomposition of dynamic systems is NP-complete
Author_Institution :
AT&T Bell Laboratories, Murray Hill, NJ, USA
fDate :
9/1/1984 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1984.1103657