By Topic

Finite memory controls for discrete-time state-space systems [Brief Paper]

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
S. Han ; Department of Electrical Engineering, Konkuk University, Korea

As a new type of output feedback control for a stochastic discrete-time state-space system, a finite memory control (FMC) is proposed and its properties are investigated. Instead of using an internal state involved with old data, the FMC is required to utilise inputs and outputs on the recent finite time together with the future reference signals, and minimise a receding horizon quadratic performance criterion. As the linear quadratic Gaussian (LQG) controls with infinite memory can be separated into the linear quadratic (LQ) controls and the Kalman filters, the proposed FMC consists of a receding horizon control (RHC) for state feedback control and a minimum variance finite impulse response (MVFIR) filter for state estimation. It is shown that the closed-loop poles are made up of those involved with the RHC and the rest of zeros. The stability is also shown to be guaranteed under some condition. A numerical example using a two-dimensional free-body system is given to illustrate the performance of the proposed control.

Published in:

IET Control Theory & Applications  (Volume:6 ,  Issue: 5 )