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Input-output analysis, process data regression

Before the process is placed in operation we have identified the values of its parameters from linear regression analysis of input-output experimental data. Thus we have postulated the following model ... [Pg.699]

During the transient from the old to the new set point, we record the values of the manipulated variable and the controlled output. These values are shown in Table 31.2. Linear regression analysis using the input-output data of Table 31.2 produces the following values for the process parameters. [Pg.699]


See other pages where Input-output analysis, process data regression is mentioned: [Pg.698]    [Pg.157]    [Pg.1]    [Pg.474]    [Pg.113]    [Pg.573]    [Pg.178]    [Pg.84]    [Pg.199]    [Pg.44]   
See also in sourсe #XX -- [ Pg.37 ]

See also in sourсe #XX -- [ Pg.37 ]




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Data processing

Data regression

Input analysis, process data

Input data

Input processing

Input-output analysis

Input-output analysis, process data

Input/output

Output Analysis

Output data

Process analysis

Process analysis processes

Process data

Process data analysis

Process inputs/outputs

Processing analysis

Regression analysis

Regression output

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