Truncation and approximation errors in the max-plus algorithm for H/sub ∞/ value function computation

2003 ◽  
Author(s):  
W.M. McEneaney
Keyword(s):  
Value Function ◽  
Function Computation ◽  
Approximation Errors

scholarly journals Value Function Computation in Fuzzy Models by Differential Evolution

2017 ◽  
Vol 19 (4) ◽  
pp. 1025-1031 ◽  
Author(s):  
Maria Letizia Guerra ◽  
Laerte Sorini ◽  
Luciano Stefanini
Keyword(s):  
Differential Evolution ◽  
Value Function ◽  
Function Computation ◽  
Fuzzy Models

Retesting the Shape-of-Voice Value Function

2005 ◽  
Author(s):  
Jaewon Ko ◽  
Layne Paddock ◽  
Kees Van den Bos ◽  
Gary J. Greguras ◽  
Kidok Nam ◽  
...  
Keyword(s):  
Value Function

The value function for time-related decisions

2011 ◽  
Author(s):  
Anouk Festjens ◽  
Siegfried Dewitte ◽  
Enrico Diecidue ◽  
Sabrina Bruyneel
Keyword(s):  
Value Function ◽  
The Value Function

scholarly journals Two-stage segment linearization as part of the thermocouple measurement chain

2021 ◽  
Vol 54 (1-2) ◽  
pp. 141-151
Author(s):  
Dragan Živanović ◽  
Milan Simić
Keyword(s):  
Transfer Functions ◽  
Approximation Error ◽  
Linearization Method ◽  
Linear Segment ◽  
Virtual Instrumentation ◽  
Memory Consumption ◽  
Thermocouple Measurement ◽  
Two Stage ◽  
Approximation Errors ◽  
Input Range

An implementation of a two-stage piece-wise linearization method for reduction of the thermocouple approximation error is presented in the paper. First, the whole thermocouple measurement chain of a transducer is described, and possible error is analysed to define the required level of accuracy for linearization of the transfer characteristics. Evaluation of linearization functions and analysis of approximation errors are performed by the virtual instrumentation software package LabVIEW. The method is appropriate for thermocouples and other sensors where nonlinearity varies a lot over the range of input values. The basic principle of this method is to first transform the abscissa of the transfer function by a linear segment look-up table in such a way that significantly nonlinear parts of the input range are expanded before a standard piece-wise linearization. In this way, applying equal-segment linearization two times has a similar effect to non-equal-segment linearization. For a given examples of the thermocouple transfer functions, the suggested method provides significantly better reduction of the approximation error, than the standard segment linearization, with equal memory consumption for look-up tables. The simple software implementation of this two-stage linearization method allows it to be applied in low calculation power microcontroller measurement transducers, as a replacement of the standard piece-wise linear approximation method.

Sign in / Sign up

Export Citation Format

Share Document