By Topic

Identification of a deterministic constant-affine state space model with known initial conditions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yen, G.G. ; Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA ; Lee, S.-B.

Constant-affine state space models arise naturally from the linearisation of nonlinear state space models at either on or off equilibriums. Therefore this model structure has a clear interpretation from the dynamical systems point of view and is closely related to model-based technologies such as model-based control. In this paper, the authors investigate some properties of this model structure and propose two system identification algorithms for the deterministic constant-affine state space model with known initial conditions. The first algorithm is based on a subspace identification algorithm, while the second is built on nonlinear least squares

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:149 ,  Issue: 3 )