Browsing by Subject "Parameter estimation"
Now showing items 1-13 of 13
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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 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 ... -
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 ... -
Long-term electric peak load forecasting for power system planning: A comparative study
( King Fahd University of Petroleum and Minerals , 2004 , Article)A comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the ... -
Multispectral image denoising with optimized vector non-local mean filter
( Elsevier Inc. , 2016 , Article)Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ... -
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 ... -
Parameter estimation of biological phenomena: An unscented kalman filter approach
( IEEE , 2013 , Article)Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ... -
Parameter estimation through the weighted goal programming model
( Inderscience Publishers , 2015 , Article)Many models in economics, management and finance can be described in terms of nonlinear dynamical systems which usually depend on some unknown parameters. To conduct a long-run behaviour analysis of these models it is of ... -
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 ... -
Power system frequency estimation based on simulated annealing: A variable frequency model
( Sharif University of Technology , 2004 , Article)This paper presents a new technique for measuring power system frequency, rate of change of frequency and the voltage amplitude and phase angle using the Simulated Annealing (SA) based optimization algorithm. The algorithm ... -
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
( Academic Press , 2016 , Article)In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ... -
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 ...