By Topic

Risk-sensitive sensor scheduling for discrete-time nonlinear systems

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 $13
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

2 Author(s)
Lim, A.E.B. ; Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia ; Krishnamurthy, V.

We consider a discrete time, partially observed risk sensitive optimal control problem in which observations of the state are available from a finite number of different measurement sources. At each time step, one sensor can be chosen. We study the problem of finding the sensor schedule and the system input so that a risk-sensitive cost is minimized. For the general nonlinear case, the problem is generally infinite dimensional. In the case of linear systems however, the information state is finite dimensional, and a finite dimensional suboptimal strategy is presented when the cost is quadratic

Published in:

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on  (Volume:2 )

Date of Conference:

16-18 Dec 1998