Accession Number:

AD0712404

Title:

FILTERING AND SMOOTHING OF BOUNDARY AND INTERIOR MEASUREMENT DATA FOR DISTRIBUTED PARAMETER SYSTEMS,

Descriptive Note:

Corporate Author:

BOEING SCIENTIFIC RESEARCH LABS SEATTLE WASH MATHEMATICAL AND INFORMATION SCIENCES LAB

Personal Author(s):

• Meditch,J. S.

Report Date:

1970-09-01

Pagination or Media Count:

22.0

Abstract:

Four theorems characterizing optimal filtered and smoothed estimates for linear parabolic systems are presented. The models considered include the effects of internal system noise as well as measurement noise. Cases involving measurement data given either on the systems boundary or over its interior are examined. The two theorems on optimal filtering represent extensions and refinements of earlier work the two theorems on optimal smoothing are new. Author

Descriptors:

• (*CONTROL SYSTEMS
• MATHEMATICAL MODELS)
• LINEAR SYSTEMS
• PARTIAL DIFFERENTIAL EQUATIONS
• BOUNDARY VALUE PROBLEMS
• OPTIMIZATION
• THEOREMS

Subject Categories:

• Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE