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An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
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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 ...
A novel affine qLPV model derivation method for fault diagnosis H∞ performance improvement
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a methodology for an affine quasilinear parameter varying (qLPV) model derivation is proposed. The nonlinear model of the system is converted into a qLPV model by hiding the nonlinearities in the scheduling ...
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 ...
Performance-based prognosis scheme for industrial gas turbines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink ...
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 ...
Event-Triggered fault detection, isolation and control design of linear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, the problem of event-Triggered integrated fault detection, isolation and control (E-IFDIC) for discrete-Time linear systems is considered. Using a filter to represent, characterize, and specify the E-IFDIC ...
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ...
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
(
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ...
Partial synchronization of biological neural networks and the anesthetic cascade
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
An MPC approach for LPV systems in input-output form
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability ...