6533b839fe1ef96bd12a644b

RESEARCH PRODUCT

Approximation of Feasible Parameter Set in worst case identification of block-oriented nonlinear models

Laura GiarreGiovanni Zappa

subject

Set (abstract data type)Nonlinear systemMathematical optimizationBounding overwatchConvex optimizationApplied mathematicsExtreme pointLinear subspaceProjection (linear algebra)MathematicsBlock (data storage)

description

Abstract The estimation of the Feasible Parameter Set for block-oriented nonlinear models in a worst case setting is considered. A bounding procedure is determined both for polytopic and ellipsoidie sets, consisting in the projection of the FPS ⊂ R MN of the extended parameter vector onto suitable M or N-dimensional subspaces and in the solution of convex optimization problems which provide the extreme points of the Parameter Uncertainties Intervals of the model parameteres. Bounds obtained are tighter then in the previous approaches.

yearjournalcountryeditionlanguage
2003-09-01
10.1016/s1474-6670(17)34865-6https://hdl.handle.net/11380/1123563