An Algorithm for a Solution of a Stochastic Adaptive Linear Quadratic Optimal Control Problem

Raymond Rishel, Lawrence Harris

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A variational approach is taken to derive optimality conditions for a discrete-time linear quadratic adaptive stochastic optimal control problem. These conditions lead to an algorithm for computing optimal control laws which differs from the dynamic programming algorithm.

Original languageEnglish
Pages (from-to)1165-1170
Number of pages6
JournalIEEE Transactions on Automatic Control
Volume31
Issue number12
DOIs
StatePublished - Dec 1986

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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