Non linear system identification : a state -space approach

V. Verdult

Research output: ThesisPhD Thesis - Research UT, graduation UT

Abstract

In this thesis, new system identication methods are presented for three particular types of nonlinear systems: linear parameter-varying state-space systems, bilinear state-space systems, and local linear state-space systems. Although most work on nonlinear system identication deals with nonlinear input-output descriptions, this thesis focuses on state-space descriptions. State-space systems are considered, because they are especially suitable for dealing with multiple inputs and outputs, and they usually require less parameters to describe a system than input-output descriptions do. Equally important, the starting point of many nonlinear control methods is a state-space model of the system to be controlled.
LanguageUndefined
Supervisors/Advisors
  • Supervisor
Award date1 Mar 2002
Place of PublicationEnschede
Publisher
Print ISBNs90-365-1717-6
StatePublished - 1 Mar 2002

Keywords

  • METIS-206525
  • IR-38684

Cite this

Verdult, V. (2002). Non linear system identification : a state -space approach Enschede: Twente University Press (TUP)
Verdult, V.. / Non linear system identification : a state -space approach. Enschede : Twente University Press (TUP), 2002. 279 p.
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Non linear system identification : a state -space approach. / Verdult, V.

Enschede : Twente University Press (TUP), 2002. 279 p.

Research output: ThesisPhD Thesis - Research UT, graduation UT

TY - THES

T1 - Non linear system identification : a state -space approach

AU - Verdult,V.

PY - 2002/3/1

Y1 - 2002/3/1

N2 - In this thesis, new system identication methods are presented for three particular types of nonlinear systems: linear parameter-varying state-space systems, bilinear state-space systems, and local linear state-space systems. Although most work on nonlinear system identication deals with nonlinear input-output descriptions, this thesis focuses on state-space descriptions. State-space systems are considered, because they are especially suitable for dealing with multiple inputs and outputs, and they usually require less parameters to describe a system than input-output descriptions do. Equally important, the starting point of many nonlinear control methods is a state-space model of the system to be controlled.

AB - In this thesis, new system identication methods are presented for three particular types of nonlinear systems: linear parameter-varying state-space systems, bilinear state-space systems, and local linear state-space systems. Although most work on nonlinear system identication deals with nonlinear input-output descriptions, this thesis focuses on state-space descriptions. State-space systems are considered, because they are especially suitable for dealing with multiple inputs and outputs, and they usually require less parameters to describe a system than input-output descriptions do. Equally important, the starting point of many nonlinear control methods is a state-space model of the system to be controlled.

KW - METIS-206525

KW - IR-38684

M3 - PhD Thesis - Research UT, graduation UT

SN - 90-365-1717-6

PB - Twente University Press (TUP)

CY - Enschede

ER -

Verdult V. Non linear system identification : a state -space approach. Enschede: Twente University Press (TUP), 2002. 279 p.