Identification from aperiodic discrete-time data with applications to the estimation of exponential parameters
ResearchPublished 1966
Presentation of a way to identify a single-input single-output time-invariant linear system from an arbitrary set of discrete-time observations. Interpolarity procedures are used to express the unknown parameters in terms of the data. Applications of the procedure to an overdamped second-order system are included, and the identification method is shown to be related to the resolution of a set of discrete-data into a weighted sum of exponentials, and hence to Prony's method for equally spaced discrete-data. Computer results indicate the procedure can be used to identify systems when only limited quantities of aperiodic data are available, and that it can also be used in a comprehensive digital computer program for identification for an adaptive control system.
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1966
- Pages: 22
- Document Number: RM-4919-PR
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