Decentralized feedback control for wireless sensor and actuator networks with multiple controllers

Decentralized feedback control for wireless sensor and actuator networks with multiple controllers In this paper, the design of the optimal decentralized full-state-feedback control is considered for a wireless sensor and actuator network with multiple controllers in the presence of stochastic network-induced delays and plant state noise. In particular, using the quadratic cost function, the design problem with decentralized controllers is formulated as a non-cooperative linear quadratic game. Then, the optimal control law of each controller is obtained that is a function of the current plant state and finite past control signals. The performance of the proposed algorithm is evaluated by a stable control system and an application of the load frequency control system in power grid. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Machine Learning and Cybernetics Springer Journals

Decentralized feedback control for wireless sensor and actuator networks with multiple controllers

Loading next page...
 
/lp/springer_journal/decentralized-feedback-control-for-wireless-sensor-and-actuator-OKOiBC6VP3
Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2016 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics; Complex Systems; Systems Biology; Pattern Recognition
ISSN
1868-8071
eISSN
1868-808X
D.O.I.
10.1007/s13042-016-0518-y
Publisher site
See Article on Publisher Site

Abstract

In this paper, the design of the optimal decentralized full-state-feedback control is considered for a wireless sensor and actuator network with multiple controllers in the presence of stochastic network-induced delays and plant state noise. In particular, using the quadratic cost function, the design problem with decentralized controllers is formulated as a non-cooperative linear quadratic game. Then, the optimal control law of each controller is obtained that is a function of the current plant state and finite past control signals. The performance of the proposed algorithm is evaluated by a stable control system and an application of the load frequency control system in power grid.

Journal

International Journal of Machine Learning and CyberneticsSpringer Journals

Published: Mar 14, 2016

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off