Olawale Adetona
- EDUCATION
Ph. D., Mechanical Engineering, Vanderbilt University, Nashville, TN,
(currently enrolled).
M.S., Mechanical Engineering, University of Missouri-Rolla, Rolla, Missouri,
1994.
B. S., Mechanical Engineering, University of Lagos, Lagos, Nigeria, 1990.
- AREAS OF RESEARCH
Stable Adaptive Control Using Neural Networks, Smart Structures, and
Intelligent Manufacturing Systems.
- CURRENT RESEARCH PROJECTS
Stable Robust Adaptive Control Using Neural Networks
The development of stable adaptive algorithms for the control of
a class of nonlinear interval plants using neural networks.
Funded by Center of Excellence in Information Systems at Tennessee State
University.
Vibration Attenuation Using Space Realizable Actuators
The development of a stable adaptive neural network controller
to dampen the vibrations of a space structure using a reciprocating mass
actuator.
Funded by Center of Excellence in Information Systems at Tennessee State
University.
- REFEREED PUBLICATIONS
Okafor, A. Chukwujekwu; Adetona, O., " Predicting quality characteristics
of end-milled parts based on multi-sensor integration using neural networks:
individual effects of learning parameters and rules ", Journal
of Intelligent Manufacturing , vol. 6 no. 6, p 389-400, December 1995.
A. Chukwujekwu Okafor and O. Adetona, " Multi-Sensor Integration Using
Neural Networks for Predicting Quality Characteristics of End-Milled Parts
- Part I: Individual Effects of Training Parameters ", Proceedings
SPIE International Symposium on Optical Engineering in Aerospace Sensing,
Orlando, Florida, April 4 - 8, 1994.
A. Chukwujekwu Okafor and O. Adetona, " Multi-Sensor Integration Using
Neural Networks for Predicting Quality Characteristics of End-Milled Parts
- Part II: Interaction Effects of Training Parameters ", Proc.
Second International Conference on Intelligent Materials , Williamsburg,
Virginia, June 5 - 8, 1994.
- CONTACT
adetona@coe.tnstate.edu
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