Title :
Computational complexity of μ calculation
Author :
Braatz, Richard P. ; Young, Peter M. ; Doyle, John C. ; Morari, Manfred
Author_Institution :
Dept. of Chem. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
5/1/1994 12:00:00 AM
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
Keywords :
computational complexity; stability; μ calculation; NP-hard; combinatorial complexity theory; general mixed real/complex uncertainty; general systems; robustness; structured singular value; uncertain systems; Argon; Artificial intelligence; Computational complexity; Constraint theory; Gold; Linear programming; Polynomials; Quadratic programming; Robustness; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on