Skip to main content
  • 2148 Accesses

Abstract

Stochastic optimal control problems can in principle be solved by stochastic dynamic programming. We pay special attention to the LQG problem where the system is linear, the cost function is quadratic, and the random variables have Gaussian distributions. The optimal controller is given by the LQG feedback law where the unobserved state is replaced by the Kalman filter estimate.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Birkhäuser Verlag

About this chapter

Cite this chapter

(2007). Stochastic Control. In: Introduction to Mathematical Systems Theory. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-7549-2_8

Download citation

Publish with us

Policies and ethics