Title :
Validation of linear fractional uncertain models: solutions via matrix inequalities
Author :
Chen, Jie ; Wang, Shuning
Author_Institution :
Coll. of Eng., California Univ., Riverside, CA, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
A time domain approach is provided in this paper to tackle the problem of model validation pertaining to uncertain models described by linear fractional transforms. Both unstructured and structured dynamic uncertainties are considered. It is shown that in the first case the problem can be solved by finding a feasible solution to a convex optimization problem, while in the second case it amounts to solving a biaffine matrix inequality problem to which only a convex optimization-based necessary condition is given
Keywords :
discrete time systems; linear systems; matrix algebra; modelling; optimisation; uncertain systems; biaffine matrix inequality problem; convex optimization; convex optimization-based necessary condition; linear fractional transforms; linear fractional uncertain models; matrix inequalities; model validation; structured dynamic uncertainties; time domain approach; unstructured dynamic uncertainties; Additive noise; Control design; Design methodology; Linear matrix inequalities; Mathematical model; Modeling; Noise measurement; Robust control; Space technology; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on