On the Separation Theorem for Linear Systems, Quadratic Criteria and Correlated Noise,

Abstract

The paper is concerned with the extension of the well known separation theorem for linear systems and quadratic criteria to the case where the input and observation disturbance vectors are correlated. The problem is treated without the usual assumption of sequential correlation for these disturbance vectors, which allows one to use state augmentation techniques. It is shown that the optimal controller can be separated into an estimator and an actuator. The structure of the estimator is further investigated and schemes that can be practically implemented are derived for some cases of interest. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1970
Accession Number
AD0718435

Entities

People

  • Dimitri P. Bertsekas

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Actuators
  • Algorithms
  • Data Acquisition
  • Estimators
  • Linear Systems
  • Observation

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.