Andreas Schrempf, Vincent Verdult,
"Identification of Approximative Nonlinear State-Space Models by Subspace Methods"
: 16th IFAC World Congress, 7-2005
Original Titel:
Identification of Approximative Nonlinear State-Space Models by Subspace Methods
Sprache des Titels:
Englisch
Original Buchtitel:
16th IFAC World Congress
Original Kurzfassung:
A subspace identification algorithm for state-affine state-space systems which
allows to approximate nonlinear systems arbitrarily well is derived. The proposed algorithm depends on an approximation step where a detailed approximation error analysis is provided. A special case is presented in which this approximation error vanishes. To tackle higher-order systems and ill-posed problems a regularized kernel method is proposed. The algorithm is evaluated by a simulation study.
Sprache der Kurzfassung:
Englisch
Erscheinungsmonat:
7
Erscheinungsjahr:
2005
Anzahl der Seiten:
6
Notiz zur Publikation:
16th IFAC World Congress, July 3-8, 2005, Prague, Czech Republic; paper number: Th-A02-TO/6
Forschungs-