Published February 16, 1993 | Version Submitted
Technical Report Open

Computational Complexity of μ Calculation

Abstract

The structured singular value μ measures the robustness of uncertain systems. Numerous researchers over the last decade have worked on developing efficient methods for computing μ. This paper considers the complexity of calculating μ with general mixed real/complex uncertainty in the framework of combinatorial complexity theory. In particular, it is proved that the μ recognition problem with either pure real or mixed real/complex uncertainty is NP-hard. This strongly suggests that it is futile to pursue exact methods for calculating μ of general systems with pure real or mixed uncertainty for other than small problems.

Additional Information

The authors thank Professor John Tsitsiklis at MIT for his comments. [R.D.B. was] supported by the Fannie and John Hertz Foundation.

Attached Files

Submitted - CDS93-005.pdf

Submitted - cds93-005.ps.gz

Files

CDS93-005.pdf

Files (395.5 kB)

Name Size
md5:ae00103900ecaf77a27e4c24029c4455
354.0 kB Preview Download
md5:1b516ccb0d72e8d8ea3cc31a601249df
41.5 kB Download

Additional details

Identifiers

Eprint ID
28063
Resolver ID
CaltechCDSTR:1993.005

Funding

Fannie and John Hertz Foundation

Dates

Created
2006-09-01
Created from EPrint's datestamp field
Updated
2019-10-03
Created from EPrint's last_modified field

Caltech Custom Metadata