Browsing by Author "Rizvi, S.Z."
Now showing items 1-4 of 4
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A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
Rizvi, S.Z.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( 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 ... -
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
Rizvi, S.Z.; Mohammadpour J.; Tcth, R.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ... -
Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems
Rizvi, S.Z.; Mohammadpour, J.; Toth, R.; Meskin, Nader ( 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 ... -
State-space LPV model identification using kernelized machine learning
Rizvi S.Z.; Velni J.M.; Abbasi F.; T?th R.; Meskin N. ( Elsevier Ltd , 2018 , Article)This paper presents a nonparametric method for identification of MIMO linear parameter-varying (LPV) models in state-space form. The states are first estimated up to a similarity transformation via a nonlinear canonical ...