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» On optimal input design in system identification for control
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CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
13 years 11 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
CDC
2010
IEEE
164views Control Systems» more  CDC 2010»
13 years 2 months ago
A recursive system identification method based on binary measurements
Abstract-- An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean ...
Kian Jafari, Jérôme Juillard, É...
CDC
2008
IEEE
171views Control Systems» more  CDC 2008»
13 years 9 months ago
Subspace IDentification of MIMO LPV systems: The PBSID approach
In this paper we present a novel algorithm to identify LPV systems with affine parameter dependence operating under open and closed-loop conditions. A factorization is introduced w...
Jan-Willem van Wingerden, Michel Verhaegen
AEI
1999
110views more  AEI 1999»
13 years 7 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
13 years 7 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...