讲座信息

 

Fault Recovery Using Evolvable Fuzzy Systems

 

Garrison W. Greenwood

Department of Electrical and Computer Engineering

Portland State University

 

When: 13:30~14:30, March 19th, 2008

Where: Room 389, Microelectronics building, Zhangjiang Campus of Fudan University

 

Agenda:

13:30-13:50: Introduction of graduate program of Department of Electrical and Computer Engineering at Portland State University.

13:50-14:30: Technical talk “Fault Recovery Using Evolvable Fuzzy Systems”

 

Dr. GreenwoodPorland州立大学电子与计算机系研究生计划部门的Director,前面二十分钟他会介绍他们的graduate program,并希望能与同学们交流。同时也欢迎本科的同学参加讲座并进行交流。

 

 

 

Abstract:

 

Autonomous systems, such as deep space probes, must survive for long periods without relying on humans for maintenance or repair. What makes maintenance particularly difficult in these systems is Faults may be impossible to analyze remotely. Providing redundant spare hardware---a common fault recovery method---is frequently not allowed in such systems because weight and space restrictions don't provide any room for spare hardware. The only recourse may be to replace the existing control strategy.This talk describes a fuzzy logic controller architecture that executes a replacement control strategy for autonomous systems. I will show this architecture is ideally suited for fault recovery in autonomous systems with imprecisely defined faults. The controller design is evolved using genetic algorithms.

 

 

Biography:

 

Garrison Greenwood received the Ph.D. degree in electrical engineering from the University of Washington. After spending more than a decade in industry designing multiprocessor embedded system hardware, he entered academia where he is now an associate professor in the Department of Electrical and Computer Engineering at Portland State University. In 1999 and 2000 he was a National Science Foundation Scholar-in-Residence at the National Institutes of Health in Bethesda, Maryland. Dr. Greenwood has served as a organizing committee member on many international conferences and was the general chair of the 2004 Congress on Evolutionary Computation. In 1999 he was an associate editor of the IEEE Transactions on Neural Networks, and since 2000 has been an associate editor of the IEEE Transactions on Evolutionary Computation. He is currently serving a second two-year term as Vice-President of Conferences for the IEEE Computational Intelligence Society. He is a senior member of the IEEE and is a registered professional engineer in the State of California. His research interests are evolvable hardware, adaptive systems, and game theory.

 
 
 
 

 

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