Accession Number : AD0688802

Title :   FORMULATING THE LEAST-SQUARE REGRESSION FOR CONTINUOUS ANALYSIS.

Descriptive Note : Technical rept.,

Corporate Author : LOUISIANA STATE UNIV BATON ROUGE COLL OF ENGINEERING

Personal Author(s) : Moore,Charles F. ; Smith,Cecil L. ; Murrill,Paul W.

Report Date : JUN 1969

Pagination or Media Count : 29

Abstract : Numerous techniques have been developed to adapt to changes in process parameters, most of which require the system to be taken off control and disturbed so that data may be collected for either on-line or off-line analysis. These techniques in many cases cannot be justified even though adaptive modeling is needed. The requirement that the process be intentionally disturbed in most cases is undesirable and frequently completely impractical. Also, the actual computer programs required to perform the analysis are generally long both in execution time and computer storage. This report demonstrates that in most cases these requirements are not necessary for either on-line or off-line analysis and that the regression problem can be formulated so that changes in model parameters can be continually monitored under normal controlled operation without extensive use of valuable computer time or storage. (Author)

Descriptors :   (*ADAPTIVE CONTROL SYSTEMS, REGRESSION ANALYSIS), CHEMICAL ENGINEERING, COMPUTER PROGRAMMING, NONLINEAR SYSTEMS, LEAST SQUARES METHOD, TRANSFER FUNCTIONS, SIMULATION

Subject Categories : Industrial Chemistry and Chemical Processing
      Statistics and Probability
      Test Facilities, Equipment and Methods

Distribution Statement : APPROVED FOR PUBLIC RELEASE