Piecewise linear modeling of snubberless dual active bridge commutation

2014 ◽  
Author(s):  
Babak Farhangi ◽  
Hamid A. Toliyat
Keyword(s):  
Piecewise Linear ◽  
Linear Modeling ◽  
Dual Active Bridge

Canonical piecewise-linear modeling

1986 ◽  
Vol 33 (5) ◽  
pp. 511-525 ◽  
Author(s):  
L. Chua ◽  
An-Chang Deng
Keyword(s):  
Piecewise Linear ◽  
Linear Modeling

scholarly journals Understanding cardiac alternans: A piecewise linear modeling framework

2010 ◽  
Vol 20 (4) ◽  
pp. 045102 ◽  
Author(s):  
R. Thul ◽  
S. Coombes
Keyword(s):  
Piecewise Linear ◽  
Linear Modeling ◽  
Modeling Framework ◽  
Cardiac Alternans

Simplified time series representations for efficient analysis of industrial process data

2003 ◽  
Vol 17 (2) ◽  
pp. 103-114
Author(s):  
ESA ALHONIEMI
Keyword(s):  
Data Storage ◽  
Heuristic Algorithms ◽  
Piecewise Linear ◽  
Paper Machine ◽  
Linear Modeling ◽  
Process Data ◽  
Data Set ◽  
Linear Representations ◽  
Real Process ◽  
Automation Systems

The data storage capacities of modern process automation systems have grown rapidly. Nowadays, the systems are able to frequently carry out even hundreds of measurements in parallel and store them in databases. However, these data are still rarely used in the analysis of processes. In this article, preparation of the raw data for further analysis is considered using feature extraction from signals by piecewise linear modeling. Prior to modeling, a preprocessing phase that removes some artifacts from the data is suggested. Because optimal models are computationally infeasible, fast heuristic algorithms must be utilized. Outlines for the optimal and some fast heuristic algorithms with modifications required by the preprocessing are given. In order to illustrate utilization of the features, a process diagnostics framework is presented. Among a large number of signals, the procedure finds the ones that best explain the observed short-term fluctuations in one signal. In the experiments, the piecewise linear modeling algorithms are compared using a massive data set from an operational paper machine. The use of piecewise linear representations in the analysis of changes in one real process measurement signal is demonstrated.

Decentralized Piecewise Linear Modeling of a Turboshaft Engine Driving a Variable Pitch Propeller

2011 ◽  
Author(s):  
Alireza Behbahani ◽  
Eric Feron ◽  
James Paduano ◽  
Nthan Fitzgerald ◽  
Mehrdad Pakmehr
Keyword(s):  
Piecewise Linear ◽  
Linear Modeling ◽  
Variable Pitch ◽  
Turboshaft Engine
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