Search
Now showing items 1-7 of 7
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
(
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 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 ...
Secret key generation based on channel and distance measurements
(
IEEE Computer Society
, 2014 , Conference Paper)
Within the paradigm of physical layer secrecy, typically a physical layer specific characteristic is used as key generator to guarantee information hiding from eavesdroppers. In this paper, we propose a novel secret key ...
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 ...
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In this paper, a novel method for a time-varying parameter estimation technique using particle filters is proposed based on the concept of Recursive Prediction Error (RPE). According to the proposed method, a parallel ...
Optimal Consensus Time Synchronizations for Wireless Sensor Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Wireless Sensor Networks (WSNs) have received an important consideration in recent years regarding its broad area of applications. Time synchronization is one of the most important challenges of WSNs. This paper proposes ...
Parameter Estimation of Biological Phenomena Modeled by S-systems: An Extended Kalman Filter Approach
(
IEEE
, 2011 , Conference Paper)
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest
in the development of mathematical models for biological phenomena. S-systems, which offer a good compromise ...