Optimal controller/observer gains of discounted-cost LQG systems

Hildo Bijl, Thomas B. Schön

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
1 Downloads (Pure)

Abstract

The linear–quadratic-Gaussian (LQG) control paradigm is well-known in literature. The strategy of minimizing the cost function is available, both for the case where the state is known and where it is estimated through an observer. The situation is different when the cost function has an exponential discount factor, also known as a prescribed degree of stability. In this case, the optimal control strategy is only available when the state is known. This paper builds onward from that result, deriving an optimal control strategy when working with an estimated state. Expressions for the resulting optimal expected cost are also given.

Original languageEnglish
Pages (from-to)471-474
JournalAutomatica
Volume101
DOIs
Publication statusPublished - 2019

Keywords

  • Cost function
  • Linear systems
  • LQG
  • Optimal control
  • Riccati equation

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