Optimal mobile sensor motion planning under non-holonomic constraints for parameter estimation of distributed systems
by Zhen Song, YangQuan Chen, JinSong Liang, Dariusz Ucinski
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 3, No. 3/4, 2007

Abstract: This paper presents a numerical solution for a mobile sensor motion trajectory scheduling problem under non-holonomic constraints of a project named Mobile Actuator-Sensor network (MAS-net). The motivation of the MAS-net project, at the first stage, is to estimate diffusion system parameters by networked mobile sensors. Each sensor is mounted on a differentially driven mobile robot to observe the diffusing fog. In other words, this project requires the observation of a parabolic Distributed Parameter System (DPS) by non-holonomic networked mobile sensors. This paper reformulates this problem in the framework of optimal control and proposes a procedure to obtain a numerical solution by using RIOTS and Matlab PDE Toolbox. The objective function of this method is designed to minimise the effect of the sensing noise. Extensive simulation results are presented for illustration.

Online publication date: Thu, 28-Jun-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com