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Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
This paper proposes a method for reduction of scheduling dependency in linear parameter-varying (LPV) systems. In particular, both the dimension of the scheduling variable and the corresponding scheduling region are shrunk ...
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...
A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ...
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ...
Linear parameter-varying control of a copolymerization reactor
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV ...