Identification of linear systems via numerical inversion of Laplace transforms

by Richard Ernest Bellman, H. H. Natsuyama, Robert E. Kalaba


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback12 pages $20.00 $16.00 20% Web Discount

A discussion of a fundamental problem in adaptive control; namely, that of identifying the parameters of a system on the basis of observations of a process which the system undergoes. The quasilinearization technique provides a general method for identifying linear systems based on the ability to invert Laplace transforms numerically. The method uses irregularly spaced observations and is extremely fast. Results of a test calculation for a second-order linear system are given.

This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.