DocumentCode :
3252865
Title :
LMIs, interior point methods, complexity theory, and robustness analysis
Author :
Mesbahi, Mehran ; Papavassilopoulos, George P.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
4
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
4625
Abstract :
Let δΣ be a measure of the relative stability of a stable dynamical system Σ. Let τA(Σ) be a measure of the computational efficiency of a particular algorithm A which verifies the stability property of Σ. For two representative cases of Σ, we demonstrate the existence of a particular measure δΣ and an algorithm A such that, δΣτA(Σ)=c where c depends possibly on the dimension of the system Σ and parameters which are specific to the algorithm A, but independent of any other system characteristics. In particular, given Σ and A, one can estimate δΣ by measuring τA(Σ)
Keywords :
Lyapunov matrix equations; computational complexity; linear systems; robust control; LMI; Lyapunov equation; complexity theory; computational efficiency; interior point methods; linear systems; matrix; relative stability; robustness analysis; stable dynamical system; system characteristics; Algorithm design and analysis; Complexity theory; Computational efficiency; Control systems; Particle measurements; Q measurement; Robust control; Robust stability; Robustness; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.577603
Filename :
577603
Link To Document :
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