Dr. Jyotirmay Gadewadikar from the Sensors and Automation Laboratory, Systems
Research Institute, at the Alcorn State University published a peer reviewed
full paper at the Journal of Guidance, Control, and Dynamics managed by the
American Institute of Aeronautics and Astronautics. AIAA is the world's largest
technical society devoted to the global aerospace community. The collaborative
work included eminent research scientists from Automation and Robotics Research
Institute, University of Texas, and Department of Electrical and Computer
engineering, National University of Singapore.
The journal citation information is below
J. Gadewadikar, F. L. Lewis, K. Subbarao, B. Chen. “Structured H-Infinity
Command and Control Loop Design for Unmanned Helicopters,” Journal of Guidance
Dynamics & Control, AIAA, Vol. 31, No. 4, July–August 2008, pp. 1093-1102.
The research was funded at the University of Texas from the support received
from National Science Foundation grant ECS-0140490 and U.S. Army Research Office
(ARO) grant DAAD 19-02-1-0366. The work was also developed in the framework of
the Nonlinear Control of Unmanned Flying Vehicles project at The National
University of Singapore.
Dr. Gadewadikar has been invited as conference session chair, and to
contribute at special issues in journals and conferences relating to Aircraft
and Unmanned Aerial Vehicle Control. He has frequently been asked for his
judgment as a reviewer for prestigious publications such as The Institute of
Electrical & Electronics Engineers, The Institute of Measurement & Control, The
International Federation of Automatic Control, and The Institution of
Engineering & Technology.
In the past few years, there has been a significant interest in using Unmanned
Aerial Vehicles for applications such as search and rescue, surveillance, and
remote inspection. To control and automate an unmanned aerial vehicle is a
difficult aerial robotics problem because of the complexities involved. An
unmanned aerial vehicle has to remain stable in air as well as mitigate external
factors such as wind disturbances.
The use of Unmanned Aerial Vehicles, equipped with video cameras and/or other
sensors, is a technically viable method of timely information to support
decisions regarding security of critical infrastructure, natural disasters, and
also in providing improved safety for the public law and order enforcement. An
open research area regarding vehicle implementation is also the usage in
agriculture and forestry. At the Sensors and Automation Laboratory at Systems
Research Institute, the expertise, including aerial robotics, systems &
controls, stochastics, and manufacturing automation is available. Kindly e-mail
email@example.com, Director, Systems Research Institute for further information
on possible collaborations and joint research projects.