OPTIMUM CONTROL OF LINEAR, SAMPLED DATA SYSTEMS WITH INACCESSIBLE STATE VARIABLES,
Abstract
Some new results in the optimum control of linear systems with respect to a quadratic performance criterion are given. It is assumed that the system is subject to additive random disturbances and that some state variables cannot be measured or can only be measured with additive noise. It is well known that when the disturbance and noise are normal random variables, the optimum controller is a linear function of the minimum mean squared estimates for the state variables. In this study the result is shown to hold without qualification. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1968
- Accession Number
- AD0670569
Entities
People
- J. G. Root
Organizations
- RAND Corporation